Index (feature 0.18 API)

A B C D E F G H I K L M N O P Q R S T U V W X Y _

A

A(int, int, ImageFloat32) - Static method in class boofcv.alg.flow.HornSchunckPyramid: See equation 25.
A_safe(int, int, ImageFloat32) - Static method in class boofcv.alg.flow.HornSchunckPyramid: See equation 25.
actualOctaves - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
add(LineParametric2D_F32, float) - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
add(SegmentSlic.Cluster, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic.Pixel
addColor(float[], int, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Performs a weighted add to the cluster's color at the specified pixel in the image
addColor(float[], int, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_F32
addColor(float[], int, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsF32
addColor(float[], int, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsU8
addColor(float[], int, float) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_U8
addPixelValue(int, float[]) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor: Image type specific implementation.
addPixelValue(int, float[]) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor.F32
addPixelValue(int, float[]) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor.MS_F32
addPixelValue(int, float[]) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor.MS_U8
addPixelValue(int, float[]) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor.U8
adjacentBorder(ImageSInt32) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions
adjacentInner4(ImageSInt32) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions
adjacentInner8(ImageSInt32) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions
alpha - Variable in class boofcv.alg.flow.BroxWarpingSpacial
alpha - Variable in class boofcv.alg.flow.ConfigBroxWarping: Brightness difference weighting factor.
alpha - Variable in class boofcv.factory.flow.ConfigHornSchunck: Larger values place more importance on flow smoothness consistency over brightness consistency.
alpha - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Weights importance of image brightness error and velocity smoothness.
alpha2 - Variable in class boofcv.alg.flow.HornSchunck
angleDiv - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
angleRound - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
angles - Variable in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindowIntegral
angles - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
approximateSortBins - Variable in class boofcv.factory.segmentation.ConfigFh04: If set to a value larger than 0 then an approximate sorting routine will be used.
assignLabelsToPixels(ImageSInt32, GrowQueue_I32, FastQueue<float[]>) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Selects which region each pixel belongs to based on which cluster it is the closest to
assignNewToNeighbors(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: See if a neighbor has a label ( > 0 ) or has been assigned WSHED ( == 0 ).
assignNewToNeighbors(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect4
assignNewToNeighbors(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect8
Associate - Interface in boofcv.abst.feature.associate: Common interface for associating features between two images.
associate() - Method in interface boofcv.abst.feature.associate.Associate: Finds the best match for each item in the source list with an item in the destination list.
associate() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
associate() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
associate() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
associate() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
associate() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
associate(FastQueue<D>, FastQueue<D>) - Method in class boofcv.alg.feature.associate.AssociateGreedy: Associates the two sets objects against each other by minimizing fit score.
associate() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic: Associates the features together.
associate() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
associate - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
associateAllToDetected() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Associate all tracks in any state to the latest observations.
AssociateDescription<Desc> - Interface in boofcv.abst.feature.associate: Generalized interface for associating features.
AssociateDescription2D<Desc> - Interface in boofcv.abst.feature.associate: Associates features from two images together using both 2D location and descriptor information.
AssociateDescTo2D<D> - Class in boofcv.abst.feature.associate: Wrapper around AssociateDescription that allows it to be used inside of AssociateDescription2D
AssociateDescTo2D(AssociateDescription<D>) - Constructor for class boofcv.abst.feature.associate.AssociateDescTo2D
AssociatedIndex - Class in boofcv.struct.feature: Indexes of two associated features and the fit score..
AssociatedIndex() - Constructor for class boofcv.struct.feature.AssociatedIndex
AssociateGreedy<D> - Class in boofcv.alg.feature.associate: Brute force greedy association for objects described by a TupleDesc_F64.
AssociateGreedy(ScoreAssociation<D>, boolean) - Constructor for class boofcv.alg.feature.associate.AssociateGreedy: Configure association
AssociateMaxDistance<D> - Interface in boofcv.alg.feature.associate: Two features can only be associated if their distance in image space is less than the specified number.
AssociateMaxDistanceNaive<D> - Class in boofcv.alg.feature.associate: Two features are only considered for association if they are within the specified max distance of each other.
AssociateMaxDistanceNaive(ScoreAssociation<D>, boolean, double) - Constructor for class boofcv.alg.feature.associate.AssociateMaxDistanceNaive: Specifies score mechanism
AssociateMaxDistanceNaive(ScoreAssociation<D>, boolean, double, double) - Constructor for class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
AssociateNearestNeighbor<D extends TupleDesc_F64> - Class in boofcv.abst.feature.associate: Matches features using a NearestNeighbor search from DDogleg.
AssociateNearestNeighbor(NearestNeighbor<Integer>, int) - Constructor for class boofcv.abst.feature.associate.AssociateNearestNeighbor
AssociateSurfBasic - Class in boofcv.alg.feature.associate: Basic algorithm for specializing association for SURF features.
AssociateSurfBasic(AssociateDescription<TupleDesc_F64>) - Constructor for class boofcv.alg.feature.associate.AssociateSurfBasic
AssociateSurfBasic.Helper - Class in boofcv.alg.feature.associate
AssociateSurfBasic.Helper() - Constructor for class boofcv.alg.feature.associate.AssociateSurfBasic.Helper
AssociateUniqueByScoreAlg - Class in boofcv.alg.feature.associate: If multiple associations are found for a single source and/or destination feature then this ambiguity is removed by selecting the association with the best score.
AssociateUniqueByScoreAlg(MatchScoreType, boolean, boolean) - Constructor for class boofcv.alg.feature.associate.AssociateUniqueByScoreAlg: Configures algorithm.
association - Variable in class boofcv.abst.feature.associate.EnforceUniqueByScore
average(int, boolean, Class<T>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs
average_ii(ConfigAverageIntegral, Class<II>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs
averageCircle_F64(List<Point2D_F64>, GrowQueue_F64, FitData<Circle2D_F64>) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Computes a circle which has it's center at the mean position of the provided points and radius is equal to the average distance of each point from the center.
averageCircle_I32(List<Point2D_I32>, GrowQueue_F64, FitData<Circle2D_F64>) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Computes a circle which has it's center at the mean position of the provided points and radius is equal to the average distance of each point from the center.
averageFlow - Variable in class boofcv.alg.flow.HornSchunck

B

BaseAssociateLocation2DFilter<D> - Class in boofcv.alg.feature.associate: Base class for algorithms which consider all possible associations but perform a quick distance calculation to remove unlikely matches before computing the more expensive fit score between two descriptions.
BaseAssociateLocation2DFilter(ScoreAssociation<D>, boolean, double) - Constructor for class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter: Specifies score mechanism
BaseGeneralFeatureIntensity - Class in boofcv.abst.feature.detect.intensity: Provides some basic functionality for implementing GeneralFeatureIntensity.
BaseGeneralFeatureIntensity() - Constructor for class boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity
BaseTemplateIntensity<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.feature.detect.template: Base class which implements common elements
BaseTemplateIntensity() - Constructor for class boofcv.alg.feature.detect.template.BaseTemplateIntensity
BinaryCompareDefinition_I32 - Class in boofcv.alg.feature.describe.brief: Describes the layout of a BRIEF descriptor.
BinaryCompareDefinition_I32(int, int, int) - Constructor for class boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32
blur - Variable in class boofcv.alg.feature.describe.DescribePointBrief
blur - Variable in class boofcv.alg.feature.describe.DescribePointBriefSO
blurRadius - Variable in class boofcv.abst.feature.describe.ConfigBrief: Amount of blur applied to the image before sampling.
blurSigma - Variable in class boofcv.abst.feature.describe.ConfigBrief: Amount of blur applied to the image before sampling.
blurSigma - Variable in class boofcv.abst.feature.describe.ConfigSiftScaleSpace: Amount of blur applied to each scale inside an octaves.
boofcv.abst.feature.associate - package boofcv.abst.feature.associate
boofcv.abst.feature.describe - package boofcv.abst.feature.describe
boofcv.abst.feature.detdesc - package boofcv.abst.feature.detdesc
boofcv.abst.feature.detect.extract - package boofcv.abst.feature.detect.extract
boofcv.abst.feature.detect.intensity - package boofcv.abst.feature.detect.intensity
boofcv.abst.feature.detect.interest - package boofcv.abst.feature.detect.interest
boofcv.abst.feature.detect.line - package boofcv.abst.feature.detect.line
boofcv.abst.feature.detect.peak - package boofcv.abst.feature.detect.peak
boofcv.abst.feature.disparity - package boofcv.abst.feature.disparity
boofcv.abst.feature.orientation - package boofcv.abst.feature.orientation
boofcv.abst.flow - package boofcv.abst.flow
boofcv.abst.segmentation - package boofcv.abst.segmentation
boofcv.alg.feature - package boofcv.alg.feature
boofcv.alg.feature.associate - package boofcv.alg.feature.associate
boofcv.alg.feature.color - package boofcv.alg.feature.color
boofcv.alg.feature.describe - package boofcv.alg.feature.describe
boofcv.alg.feature.describe.brief - package boofcv.alg.feature.describe.brief
boofcv.alg.feature.describe.impl - package boofcv.alg.feature.describe.impl
boofcv.alg.feature.detdesc - package boofcv.alg.feature.detdesc
boofcv.alg.feature.detect.edge - package boofcv.alg.feature.detect.edge
boofcv.alg.feature.detect.edge.impl - package boofcv.alg.feature.detect.edge.impl
boofcv.alg.feature.detect.extract - package boofcv.alg.feature.detect.extract
boofcv.alg.feature.detect.intensity - package boofcv.alg.feature.detect.intensity
boofcv.alg.feature.detect.intensity.impl - package boofcv.alg.feature.detect.intensity.impl
boofcv.alg.feature.detect.interest - package boofcv.alg.feature.detect.interest
boofcv.alg.feature.detect.line - package boofcv.alg.feature.detect.line
boofcv.alg.feature.detect.line.gridline - package boofcv.alg.feature.detect.line.gridline
boofcv.alg.feature.detect.peak - package boofcv.alg.feature.detect.peak
boofcv.alg.feature.detect.template - package boofcv.alg.feature.detect.template
boofcv.alg.feature.disparity - package boofcv.alg.feature.disparity
boofcv.alg.feature.disparity.impl - package boofcv.alg.feature.disparity.impl
boofcv.alg.feature.orientation - package boofcv.alg.feature.orientation
boofcv.alg.feature.orientation.impl - package boofcv.alg.feature.orientation.impl
boofcv.alg.feature.shapes - package boofcv.alg.feature.shapes
boofcv.alg.flow - package boofcv.alg.flow
boofcv.alg.segmentation - package boofcv.alg.segmentation
boofcv.alg.segmentation.fh04 - package boofcv.alg.segmentation.fh04
boofcv.alg.segmentation.fh04.impl - package boofcv.alg.segmentation.fh04.impl
boofcv.alg.segmentation.ms - package boofcv.alg.segmentation.ms
boofcv.alg.segmentation.slic - package boofcv.alg.segmentation.slic
boofcv.alg.segmentation.watershed - package boofcv.alg.segmentation.watershed
boofcv.alg.tracker.combined - package boofcv.alg.tracker.combined
boofcv.alg.tracker.klt - package boofcv.alg.tracker.klt
boofcv.factory.feature.associate - package boofcv.factory.feature.associate
boofcv.factory.feature.describe - package boofcv.factory.feature.describe
boofcv.factory.feature.detdesc - package boofcv.factory.feature.detdesc
boofcv.factory.feature.detect.edge - package boofcv.factory.feature.detect.edge
boofcv.factory.feature.detect.extract - package boofcv.factory.feature.detect.extract
boofcv.factory.feature.detect.intensity - package boofcv.factory.feature.detect.intensity
boofcv.factory.feature.detect.interest - package boofcv.factory.feature.detect.interest
boofcv.factory.feature.detect.line - package boofcv.factory.feature.detect.line
boofcv.factory.feature.detect.peak - package boofcv.factory.feature.detect.peak
boofcv.factory.feature.detect.template - package boofcv.factory.feature.detect.template
boofcv.factory.feature.disparity - package boofcv.factory.feature.disparity
boofcv.factory.feature.orientation - package boofcv.factory.feature.orientation
boofcv.factory.flow - package boofcv.factory.flow
boofcv.factory.segmentation - package boofcv.factory.segmentation
boofcv.factory.tracker - package boofcv.factory.tracker
boofcv.numerics - package boofcv.numerics
boofcv.struct.feature - package boofcv.struct.feature
boofcv.struct.flow - package boofcv.struct.flow
border - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
border - Variable in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
BORDER - Static variable in class boofcv.alg.segmentation.slic.SegmentSlic
border4(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Just processes the image border.
border4(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude: Just processes the image border.
border4(ImageFloat32, ImageInteger, ImageInteger, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude: Just processes the image border.
border8(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Just processes the image border.
borderAverageFlow(ImageFlow, ImageFlow) - Static method in class boofcv.alg.flow.HornSchunck: Computes average flow using an 8-connect neighborhood for the image border
borderDerivT(ImageFloat32, ImageFloat32, ImageFloat32, int, int) - Static method in class boofcv.alg.flow.HornSchunck_F32
borderDerivT(ImageUInt8, ImageUInt8, ImageSInt16, int, int) - Static method in class boofcv.alg.flow.HornSchunck_U8
brief(BinaryCompareDefinition_I32, BlurFilter<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
brief(ConfigBrief, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a BRIEF descriptor.
BriefFeatureQueue - Class in boofcv.struct.feature: FastQueue for TupleDesc_B.
BriefFeatureQueue(int) - Constructor for class boofcv.struct.feature.BriefFeatureQueue
briefso(BinaryCompareDefinition_I32, BlurFilter<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
broxWarping(ConfigBroxWarping, Class<T>) - Static method in class boofcv.factory.flow.FactoryDenseOpticalFlow
BroxWarpingSpacial<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.flow: Dense optical flow which adheres to a brightness constancy assumption, a gradient constancy assumption, and a discontinuity-preserving spatio-temporal smoothness constraint.
BroxWarpingSpacial(ConfigBroxWarping, InterpolatePixelS<ImageFloat32>) - Constructor for class boofcv.alg.flow.BroxWarpingSpacial: Configures flow estimation
BroxWarpingSpacial_to_DenseOpticalFlow<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.flow: Implementation of BroxWarpingSpacial for HornSchunck.
BroxWarpingSpacial_to_DenseOpticalFlow(BroxWarpingSpacial<T>, Class<T>) - Constructor for class boofcv.abst.flow.BroxWarpingSpacial_to_DenseOpticalFlow

C

c - Variable in class boofcv.struct.feature.CachedSineCosine_F32
CachedSineCosine_F32 - Class in boofcv.struct.feature: Precomputes the output of sine/cosine operations.
CachedSineCosine_F32(float, float, int) - Constructor for class boofcv.struct.feature.CachedSineCosine_F32
canDetectBorder() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Can it detect features which are inside the image border.
canDetectBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
canDetectBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
canDetectBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
canDetectMaximums() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: True if it can detect local maximums.
canDetectMaximums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
canDetectMaximums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
canDetectMaximums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
canDetectMinimums() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: True if it can detect local minimums.
canDetectMinimums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
canDetectMinimums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
canDetectMinimums() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
canny(int, boolean, boolean, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.edge.FactoryEdgeDetectors: Detects the edge of an object using the canny edge detector.
CannyEdge<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.edge: Implementation of canny edge detector.
CannyEdge(BlurFilter<T>, ImageGradient<T, D>, boolean) - Constructor for class boofcv.alg.feature.detect.edge.CannyEdge: Specify internal algorithms and behavior.
CannyEdgeDynamic<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.edge: Canny edge detector where the thresholds are computed dynamically based upon the magnitude of the largest edge
CannyEdgeDynamic(BlurFilter<T>, ImageGradient<T, D>, boolean) - Constructor for class boofcv.alg.feature.detect.edge.CannyEdgeDynamic: Constructor and configures algorithm
changed - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
checkAddInside(int, int, Point2D_F32, List<Point2D_F32>) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
checkDestination() - Method in class boofcv.alg.feature.associate.AssociateUniqueByScoreAlg
checkDestination(FastQueue<AssociatedIndex>, int) - Method in class boofcv.alg.feature.associate.FindUnassociated
checkLocalMax(int, int, float, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed
checkLocalMax(int, int, float, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockStrict
checkLocalMin(int, int, float, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed
checkLocalMin(int, int, float, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockStrict
checkLower(int) - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity: Checks to see if the specified pixel qualifies as a corner with lower values
checkLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity10
checkLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity11
checkLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity12
checkLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity9
checkMask(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
checkMax(ImageBorder_F32, float, int, int) - Static method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Sees if the best score in the current layer is greater than all the scores in a 3x3 neighborhood in another layer.
checkMax(ImageBorder_F32, float, int, int) - Static method in class boofcv.alg.feature.detect.interest.FeaturePyramid
checkNeighbors(int, int, ImageFlow.D, ImageFlow, float) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Examines every pixel inside the region centered at (cx,cy) to see if their optical flow has a worse score the one specified in 'flow'
checkNeighbors(int, int, float, float, float, ImageFlow) - Method in class boofcv.alg.flow.DenseOpticalFlowKlt: Examines every pixel inside the region centered at (cx,cy) to see if their optical flow has a worse score the one specified in 'flow'
checkNeighborsAssign(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Check the neighbors to see if it should become a member or a watershed
checkNeighborsAssign(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect4
checkNeighborsAssign(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect8
checkNeighborsMasks(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Checks neighbors of pixel 'index' to see if their region is MASK, if so they are assigned the currentLabel and added to fifo.
checkNeighborsMasks(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect4
checkNeighborsMasks(int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect8
checkPixelLower(int) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper: Checks to see if the specified pixel is below the lower threshold
checkPixelLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
checkPixelLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
checkPixelUpper(int) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper: Checks to see if the specified pixel is above the upper threshold
checkPixelUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
checkPixelUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
checkSource() - Method in class boofcv.alg.feature.associate.AssociateUniqueByScoreAlg
checkSource(FastQueue<AssociatedIndex>, int) - Method in class boofcv.alg.feature.associate.FindUnassociated
checkUpper(int) - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity: Checks to see if the specified pixel qualifies as a corner with upper values
checkUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity10
checkUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity11
checkUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity12
checkUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity9
checkValidity() - Method in class boofcv.abst.feature.describe.ConfigBrief
checkValidity() - Method in class boofcv.abst.feature.describe.ConfigSiftDescribe
checkValidity() - Method in class boofcv.abst.feature.describe.ConfigSiftScaleSpace
checkValidity() - Method in class boofcv.abst.feature.describe.ConfigSurfDescribe
checkValidity() - Method in class boofcv.abst.feature.detect.extract.ConfigExtract
checkValidity() - Method in class boofcv.abst.feature.detect.interest.ConfigFast
checkValidity() - Method in class boofcv.abst.feature.detect.interest.ConfigFastHessian
checkValidity() - Method in class boofcv.abst.feature.detect.interest.ConfigSiftDetector
checkValidity() - Method in class boofcv.abst.feature.orientation.ConfigAverageIntegral
checkValidity() - Method in class boofcv.abst.feature.orientation.ConfigSiftOrientation
checkValidity() - Method in class boofcv.abst.feature.orientation.ConfigSlidingIntegral
checkValidity() - Method in class boofcv.alg.flow.ConfigBroxWarping
checkValidity() - Method in class boofcv.factory.feature.detect.line.ConfigHoughFoot
checkValidity() - Method in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage
checkValidity() - Method in class boofcv.factory.feature.detect.line.ConfigHoughPolar
checkValidity() - Method in class boofcv.factory.flow.ConfigHornSchunck
checkValidity() - Method in class boofcv.factory.flow.ConfigHornSchunckPyramid
circularDistance(int, int) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Distance the two points are apart in clockwise direction
cluster - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.ClusterDistance
ClusterLabeledImage - Class in boofcv.alg.segmentation.ms: Given a labeled image in which pixels that contains the same label may or may not be connected to each other, create a new labeled image in which only connected pixels have the same label.
ClusterLabeledImage(ConnectRule) - Constructor for class boofcv.alg.segmentation.ms.ClusterLabeledImage: Configures labeling
clusters - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
clusters - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Pixel
color - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
colorDistance(float[], int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Euclidean Squared distance away that the pixel is from the provided color
colorDistance(float[], int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_F32
colorDistance(float[], int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsF32
colorDistance(float[], int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsU8
colorDistance(float[], int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_U8
ColorQueue_F32 - Class in boofcv.struct.feature: Stores an array of floats on constant size.
ColorQueue_F32(int) - Constructor for class boofcv.struct.feature.ColorQueue_F32
colorRadius - Variable in class boofcv.factory.segmentation.ConfigSegmentMeanShift: Radius of mean-shift region for color in Euclidean distance.
combine(Desc) - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral: Given all the descriptors computed independently in each band, combine them together into a single descriptor.
combined(DetectDescribePoint<I, Desc>, AssociateDescription<Desc>, PkltConfig, Class, Class<D>) - Static method in class boofcv.factory.tracker.FactoryTrackerAlg: Creates a tracker that is a hybrid between KLT and Detect-Describe-Associate (DDA) trackers.
CombinedTrack<TD extends TupleDesc> - Class in boofcv.alg.tracker.combined: An image feature track for CombinedTrackerScalePoint.
CombinedTrack() - Constructor for class boofcv.alg.tracker.combined.CombinedTrack
CombinedTrackerScalePoint - Class in boofcv.alg.tracker.combined: Combines a KLT tracker with Detect-Describe-Associate type trackers.
CombinedTrackerScalePoint(PyramidKltForCombined<I, D>, DetectDescribePoint<I, TD>, AssociateDescription<TD>) - Constructor for class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Configures tracker
CombinedTrackerScalePoint() - Constructor for class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Used for unit tests
compare - Variable in class boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32
compareTo(double, double) - Method in class boofcv.struct.feature.MatchScoreType: Used to test to see which score is better than another score.
compute(double, double) - Method in class boofcv.abst.feature.orientation.OrientationGradientToImage
compute(double, double) - Method in class boofcv.abst.feature.orientation.OrientationIntegralToImage
compute(double, double) - Method in class boofcv.abst.feature.orientation.OrientationSiftToImage
compute(double, double) - Method in interface boofcv.abst.feature.orientation.RegionOrientation: Computes the orientation of a region about its center.
compute(double, double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverageGradientIntegral
compute(double, double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
compute(double, double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindowIntegral
compute(double, double) - Method in class boofcv.alg.feature.orientation.OrientationAverage
compute(double, double) - Method in class boofcv.alg.feature.orientation.OrientationHistogram
compute(double, double) - Method in class boofcv.alg.feature.orientation.OrientationImageAverage
compute(double, double) - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow
compute(List<KltFeature>, List<KltFeature>) - Method in interface boofcv.alg.tracker.klt.KltFeatureSelector: Selects new features using provided data structures.
computeAcute(Point2D_I32, Point2D_I32, Point2D_I32) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFit: Returns the acute angle in radians between the two lines
computeAngle(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_F32
computeAngle(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_U8
computeAngle(int, int) - Method in class boofcv.alg.feature.orientation.OrientationImageAverage
computeBorder(ImageFlow, ImageFlow, int, int) - Static method in class boofcv.alg.flow.HornSchunck
computeClusterDistance() - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Computes how far away each cluster is from each pixel.
computeColor - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
computeDerivative - Variable in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
computeDerivative - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
computeDerivatives() - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Computes the image derivative for each layer in the pyramid.
computeDerivT(T, T, D) - Method in class boofcv.alg.flow.HornSchunck
computeDerivT(ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunck_F32
computeDerivT(ImageUInt8, ImageUInt8, ImageSInt16) - Method in class boofcv.alg.flow.HornSchunck_U8
computeDerivX(T, T, D) - Method in class boofcv.alg.flow.HornSchunck
computeDerivX(ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunck_F32
computeDerivX(ImageUInt8, ImageUInt8, ImageSInt16) - Method in class boofcv.alg.flow.HornSchunck_U8
computeDerivY(T, T, D) - Method in class boofcv.alg.flow.HornSchunck
computeDerivY(ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunck_F32
computeDerivY(ImageUInt8, ImageUInt8, ImageSInt16) - Method in class boofcv.alg.flow.HornSchunck_U8
computeDistance(Edgel) - Method in class boofcv.alg.feature.detect.line.gridline.GridLineModelDistance
computeDistance(List<Edgel>, double[]) - Method in class boofcv.alg.feature.detect.line.gridline.GridLineModelDistance
computeDistanceToSource(Point2D_F64) - Method in class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
computeDistanceToSource(Point2D_F64) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
computeDivUVD_safe(int, int, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.BroxWarpingSpacial
computeE(KltFeature, float, float) - Method in class boofcv.alg.tracker.klt.KltTracker
computeError(int, int, T) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Computes the error between the template and a region in 'curr' centered at cx,cy
computeError(int, int, ImageFloat32) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.F32
computeError(int, int, ImageUInt8) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.U8
computeFeatureIntensity() - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Compute difference of Gaussian feature intensity across scale space
computeGandE_border(KltFeature, float, float) - Method in class boofcv.alg.tracker.klt.KltTracker: When part of the region is outside the image G and E need to be recomputed
computeIndex(float) - Method in class boofcv.struct.feature.CachedSineCosine_F32
computeIntensity() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_F32
computeIntensity() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_S16
computeIntensity() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCorner_F32
computeIntensity() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCorner_S16
computeIntensity() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase: Computes the pixel's corner intensity.
computeLaplaceSign(int, int, double) - Method in class boofcv.alg.feature.describe.DescribePointSurf: Compute the sign of the Laplacian using a sparse convolution.
computeOrientation() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_F32
computeOrientation() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S16
computeOrientation() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S32
computeOrientation() - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow: Compute the angle without using the optional weights
computeOutput() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Searches for root nodes in the graph and adds their size to the list of region sizes.
computePoint(LineParametric2D_F32, double) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
computePsiDataPsiGradient(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.BroxWarpingSpacial: Compute Psi-data using equation 6 and approximation in equation 5
ComputeRegionMeanColor<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation: Computes the mean color for regions in a segmented image.
ComputeRegionMeanColor(int) - Constructor for class boofcv.alg.segmentation.ComputeRegionMeanColor: Constructor
ComputeRegionMeanColor.F32 - Class in boofcv.alg.segmentation: Implementation for ImageFloat32
ComputeRegionMeanColor.F32() - Constructor for class boofcv.alg.segmentation.ComputeRegionMeanColor.F32
ComputeRegionMeanColor.MS_F32 - Class in boofcv.alg.segmentation: Implementation for MultiSpectral
ComputeRegionMeanColor.MS_F32(int) - Constructor for class boofcv.alg.segmentation.ComputeRegionMeanColor.MS_F32
ComputeRegionMeanColor.MS_U8 - Class in boofcv.alg.segmentation: Implementation for MultiSpectral
ComputeRegionMeanColor.MS_U8(int) - Constructor for class boofcv.alg.segmentation.ComputeRegionMeanColor.MS_U8
ComputeRegionMeanColor.U8 - Class in boofcv.alg.segmentation: Implementation for ImageUInt8
ComputeRegionMeanColor.U8() - Constructor for class boofcv.alg.segmentation.ComputeRegionMeanColor.U8
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_F32
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_S16
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCornerWeighted_F32
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCornerWeighted_S16
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
computeResponse() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
computeScaleSigma(int, int) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Returns the amount of blur which has been applied to the image in total at the specified scale in the current octave
computeScore(int, int, int) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaive: Compute SAD (Sum of Absolute Difference) error.
computeScore(int, int, int) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaiveFive: Compute the score for five local regions and just use the center + the two best
computeScoreFive(float[], float[], float[], float[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_F32: Compute the final score by sampling the 5 regions.
computeScoreFive(int[], int[], int[], int[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_S16: Compute the final score by sampling the 5 regions.
computeScoreFive(int[], int[], int[], int[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_U8: Compute the final score by sampling the 5 regions.
computeScoreRect(int, int, int) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaiveFive: Compute SAD (Sum of Absolute Difference) error.
computeScoreRow(ImageUInt8, ImageUInt8, int, int[], int, int, int, int[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: Computes disparity score for an entire row.
computeScoreRow(ImageSInt16, ImageSInt16, int, int[], int, int, int, int[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: Computes disparity score for an entire row.
computeScoreRow(ImageFloat32, ImageFloat32, int, float[], int, int, int, float[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: Computes disparity score for an entire row.
computeScoreRowSad(ImageUInt8, ImageUInt8, int, int, int, int[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: compute the score for each element all at once to encourage the JVM to optimize and encourage the JVM to optimize this section of code.
computeScoreRowSad(ImageSInt16, ImageSInt16, int, int, int, int[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: compute the score for each element all at once to encourage the JVM to optimize and encourage the JVM to optimize this section of code.
computeScoreRowSad(ImageFloat32, ImageFloat32, int, int, int, float[]) - Static method in class boofcv.alg.feature.disparity.impl.UtilDisparityScore: compute the score for each element all at once to encourage the JVM to optimize and encourage the JVM to optimize this section of code.
computeUnweighted(double, double, double, SparseImageGradient<T, G>) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverageGradientIntegral: Compute the gradient while checking for border conditions
computeUnweighted(double, double, double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_F32
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S16
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S32
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_F32
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S16
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S32
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.OrientationAverage: Compute the score without using the optional weights
computeUnweightedScore() - Method in class boofcv.alg.feature.orientation.OrientationHistogram: Compute the score without using the optional weights
computeWeighted(double, double, double, SparseImageGradient<T, G>) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverageGradientIntegral: Compute the gradient while checking for border conditions
computeWeighted(double, double, double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
computeWeightedOrientation(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_F32
computeWeightedOrientation(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S16
computeWeightedOrientation(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S32
computeWeightedOrientation(int, int) - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow: Compute the angle using the weighting kernel.
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_F32
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S16
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S32
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_F32
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S16
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S32
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.OrientationAverage: Compute the score using the weighting kernel.
computeWeightedScore(int, int) - Method in class boofcv.alg.feature.orientation.OrientationHistogram: Compute the score using the weighting kernel.
computeWeights() - Method in class boofcv.alg.segmentation.slic.SegmentSlic.Pixel
config - Variable in class boofcv.alg.tracker.combined.PyramidKltForCombined: configuration for low level KLT tracker
config - Variable in class boofcv.alg.tracker.klt.KltTracker
config - Variable in class boofcv.alg.tracker.klt.PkltConfig: configuration for low level KLT tracker
ConfigAverageIntegral - Class in boofcv.abst.feature.orientation: Configuration for ImplOrientationAverageGradientIntegral.
ConfigAverageIntegral(int, double, int, double) - Constructor for class boofcv.abst.feature.orientation.ConfigAverageIntegral
ConfigAverageIntegral() - Constructor for class boofcv.abst.feature.orientation.ConfigAverageIntegral
ConfigBrief - Class in boofcv.abst.feature.describe: Configuration for BRIEF descriptor.
ConfigBrief(int, int, double, int, boolean) - Constructor for class boofcv.abst.feature.describe.ConfigBrief
ConfigBrief(boolean) - Constructor for class boofcv.abst.feature.describe.ConfigBrief
ConfigBrief() - Constructor for class boofcv.abst.feature.describe.ConfigBrief
ConfigBroxWarping - Class in boofcv.alg.flow: Configuration for HornSchunckPyramid
ConfigBroxWarping() - Constructor for class boofcv.alg.flow.ConfigBroxWarping
ConfigBroxWarping(float, float) - Constructor for class boofcv.alg.flow.ConfigBroxWarping
ConfigExtract - Class in boofcv.abst.feature.detect.extract: General configuration for NonMaxSuppression.
ConfigExtract(int, float, int, boolean, boolean, boolean) - Constructor for class boofcv.abst.feature.detect.extract.ConfigExtract
ConfigExtract(int, float, int, boolean) - Constructor for class boofcv.abst.feature.detect.extract.ConfigExtract
ConfigExtract(int, float) - Constructor for class boofcv.abst.feature.detect.extract.ConfigExtract: Constructor which defaults to an ignore border of 0 and to using a strict rule
ConfigExtract() - Constructor for class boofcv.abst.feature.detect.extract.ConfigExtract
ConfigFast - Class in boofcv.abst.feature.detect.interest: Configuration for FAST feature detector.
ConfigFast(int, int) - Constructor for class boofcv.abst.feature.detect.interest.ConfigFast
ConfigFast() - Constructor for class boofcv.abst.feature.detect.interest.ConfigFast
ConfigFastHessian - Class in boofcv.abst.feature.detect.interest: Configuration for FastHessianFeatureDetector plus feature extractor.
ConfigFastHessian(float, int, int, int, int, int, int) - Constructor for class boofcv.abst.feature.detect.interest.ConfigFastHessian
ConfigFastHessian() - Constructor for class boofcv.abst.feature.detect.interest.ConfigFastHessian
ConfigFh04 - Class in boofcv.factory.segmentation: Configuration for SegmentFelzenszwalbHuttenlocher04.
ConfigFh04() - Constructor for class boofcv.factory.segmentation.ConfigFh04
ConfigFh04(float, int) - Constructor for class boofcv.factory.segmentation.ConfigFh04
ConfigFh04(int, int, ConnectRule) - Constructor for class boofcv.factory.segmentation.ConfigFh04
ConfigFh04(float, int, ConnectRule, int) - Constructor for class boofcv.factory.segmentation.ConfigFh04
ConfigGeneralDetector - Class in boofcv.abst.feature.detect.interest: Configuration for GeneralFeatureDetector.
ConfigGeneralDetector(int, int, float, int, boolean, boolean, boolean) - Constructor for class boofcv.abst.feature.detect.interest.ConfigGeneralDetector
ConfigGeneralDetector(int, int, float, int, boolean) - Constructor for class boofcv.abst.feature.detect.interest.ConfigGeneralDetector
ConfigGeneralDetector(int, int, float) - Constructor for class boofcv.abst.feature.detect.interest.ConfigGeneralDetector
ConfigGeneralDetector(int, ConfigExtract) - Constructor for class boofcv.abst.feature.detect.interest.ConfigGeneralDetector
ConfigGeneralDetector() - Constructor for class boofcv.abst.feature.detect.interest.ConfigGeneralDetector
ConfigHornSchunck - Class in boofcv.factory.flow: Configuration for HornSchunck
ConfigHornSchunck() - Constructor for class boofcv.factory.flow.ConfigHornSchunck
ConfigHornSchunckPyramid - Class in boofcv.factory.flow: Configuration for HornSchunckPyramid
ConfigHornSchunckPyramid() - Constructor for class boofcv.factory.flow.ConfigHornSchunckPyramid
ConfigHornSchunckPyramid(float, int) - Constructor for class boofcv.factory.flow.ConfigHornSchunckPyramid
ConfigHoughFoot - Class in boofcv.factory.feature.detect.line: Configuration for DetectLineHoughFoot
ConfigHoughFoot() - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFoot
ConfigHoughFoot(int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFoot
ConfigHoughFoot(int, int, int, float, int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFoot
ConfigHoughFootSubimage - Class in boofcv.factory.feature.detect.line: Configuration for DetectLineHoughFootSubimage.
ConfigHoughFootSubimage() - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage
ConfigHoughFootSubimage(int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage
ConfigHoughFootSubimage(int, int, int, float, int, int, int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage
ConfigHoughPolar - Class in boofcv.factory.feature.detect.line: Configuration for DetectLineHoughPolar
ConfigHoughPolar(int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughPolar
ConfigHoughPolar(int, int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughPolar
ConfigHoughPolar(int, int, double, double, float, int) - Constructor for class boofcv.factory.feature.detect.line.ConfigHoughPolar
ConfigOpticalFlowBlockPyramid - Class in boofcv.factory.flow
ConfigOpticalFlowBlockPyramid(int, int, int, double, int) - Constructor for class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid
ConfigOpticalFlowBlockPyramid() - Constructor for class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid
ConfigOrientation - Interface in boofcv.abst.feature.orientation: Base configuration for orientation estimation.
ConfigOrientation.Gradient - Interface in boofcv.abst.feature.orientation: Orientation estimation which takes in the image gradient
ConfigOrientation.Integral - Interface in boofcv.abst.feature.orientation: Orientation estimation which takes in an integral image
ConfigSegmentMeanShift - Class in boofcv.factory.segmentation: Configuration for SegmentMeanShift
ConfigSegmentMeanShift() - Constructor for class boofcv.factory.segmentation.ConfigSegmentMeanShift
ConfigSegmentMeanShift(int, float, int, boolean) - Constructor for class boofcv.factory.segmentation.ConfigSegmentMeanShift
ConfigSiftDescribe - Class in boofcv.abst.feature.describe: Configures the SIFT feature descriptor.
ConfigSiftDescribe(int, int, int, double, double) - Constructor for class boofcv.abst.feature.describe.ConfigSiftDescribe
ConfigSiftDescribe() - Constructor for class boofcv.abst.feature.describe.ConfigSiftDescribe
ConfigSiftDetector - Class in boofcv.abst.feature.detect.interest: Configures the SIFT feature detector.
ConfigSiftDetector(int, float, int, double) - Constructor for class boofcv.abst.feature.detect.interest.ConfigSiftDetector
ConfigSiftDetector() - Constructor for class boofcv.abst.feature.detect.interest.ConfigSiftDetector
ConfigSiftOrientation - Class in boofcv.abst.feature.orientation: Configures the SIFT feature orientation estimator.
ConfigSiftOrientation(int, double, double) - Constructor for class boofcv.abst.feature.orientation.ConfigSiftOrientation
ConfigSiftOrientation() - Constructor for class boofcv.abst.feature.orientation.ConfigSiftOrientation
ConfigSiftScaleSpace - Class in boofcv.abst.feature.describe: Configures the scale-space used by SIFT feature detector/descriptor.
ConfigSiftScaleSpace(float, int, int, boolean) - Constructor for class boofcv.abst.feature.describe.ConfigSiftScaleSpace
ConfigSiftScaleSpace() - Constructor for class boofcv.abst.feature.describe.ConfigSiftScaleSpace
ConfigSlic - Class in boofcv.factory.segmentation: Configuration used when creating SegmentSlic via FactoryImageSegmentation.
ConfigSlic(int) - Constructor for class boofcv.factory.segmentation.ConfigSlic
ConfigSlic(int, float) - Constructor for class boofcv.factory.segmentation.ConfigSlic
ConfigSlidingIntegral - Class in boofcv.abst.feature.orientation: Configuration for ImplOrientationSlidingWindowIntegral.
ConfigSlidingIntegral(double, double, int, double, int) - Constructor for class boofcv.abst.feature.orientation.ConfigSlidingIntegral
ConfigSlidingIntegral() - Constructor for class boofcv.abst.feature.orientation.ConfigSlidingIntegral
ConfigSurfDescribe - Class in boofcv.abst.feature.describe: Abstract base class for SURF implementations.
ConfigSurfDescribe() - Constructor for class boofcv.abst.feature.describe.ConfigSurfDescribe
ConfigSurfDescribe.Speed - Class in boofcv.abst.feature.describe: Configuration for SURF implementation that has been designed for speed at the cost of some stability..
ConfigSurfDescribe.Speed() - Constructor for class boofcv.abst.feature.describe.ConfigSurfDescribe.Speed
ConfigSurfDescribe.Stability - Class in boofcv.abst.feature.describe: Configuration for SURF implementation that has been designed for stability.
ConfigSurfDescribe.Stability() - Constructor for class boofcv.abst.feature.describe.ConfigSurfDescribe.Stability
configure(T, int, int, int) - Method in interface boofcv.alg.feature.disparity.DisparitySelect: Specifies the output and algorithmic configuration.
configure(ImageUInt8, int, int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_F32_U8
configure(ImageUInt8, int, int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_S32_U8
configure(T, int, int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_F32
configure(T, int, int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
configure(Disparity, int, int, int) - Method in class boofcv.alg.feature.disparity.SelectRectBasicWta
configure(T, int, int, int) - Method in class boofcv.alg.feature.disparity.SelectRectStandard
configureApproximateSort(int) - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: If this function is called the exact sort routine will not be used and instead an approximate routine will be used.
ConfigWatershed - Class in boofcv.factory.segmentation: Configuration for WatershedVincentSoille1991
ConfigWatershed() - Constructor for class boofcv.factory.segmentation.ConfigWatershed
ConfigWatershed(ConnectRule, int) - Constructor for class boofcv.factory.segmentation.ConfigWatershed
connect - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
connect(int) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
connectBottom(ImageSInt32, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage: Examines pixels along the bottom border
connectInner(ImageSInt32, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage: Examines pixels inside the image without the need for bounds checking
connectLeftRight(ImageSInt32, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage: Examines pixels along the left and right border
ConnectLinesGrid - Class in boofcv.alg.feature.detect.line: Given a grid of detected line segments connect line segments together if they appear to be apart of the same line.
ConnectLinesGrid(double, double, double) - Constructor for class boofcv.alg.feature.detect.line.ConnectLinesGrid: Specify line connecting parameters.
connectRule - Variable in class boofcv.alg.segmentation.ms.ClusterLabeledImage
connectRule - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
connectRule - Variable in class boofcv.factory.segmentation.ConfigFh04: Connection rule used to connect regions.
connectRule - Variable in class boofcv.factory.segmentation.ConfigSegmentMeanShift: Connection rule when segmenting disconnected regions.
connectRule - Variable in class boofcv.factory.segmentation.ConfigSlic: Connection rule that is used when merging small regions.
connectRule - Variable in class boofcv.factory.segmentation.ConfigWatershed: Connectivity rule
constructPyramid(ImageFloat32) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Processes the first image and constructs the scale-space pyramid for the first level.
contour - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
convergenceTol - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
convergenceTol - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
convergeTolerance - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Convergence tolerance for inner loop.
convergeToleranceSor - Variable in class boofcv.alg.flow.ConfigBroxWarping: Convergence tolerance for SOR loop.
convert(TupleDesc_F64, TupleDesc_U8) - Method in class boofcv.abst.feature.describe.ConvertPositive_F64_U8
convert(TupleDesc_F64, TupleDesc_S8) - Method in class boofcv.abst.feature.describe.ConvertReal_F64_S8
convert(A, B) - Method in interface boofcv.abst.feature.describe.ConvertTupleDesc: Converts the input descriptor into the output descriptor type.
convert(LineParametric2D_F32, int, int) - Static method in class boofcv.alg.feature.detect.line.LineImageOps: Find the point in which the line intersects the image border and create a line segment at those points
convertImage(RegionOrientation, Class<T>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientation: Adds wrappers around implementations of RegionOrientation such that they can be used as a OrientationImage.
ConvertPositive_F64_U8 - Class in boofcv.abst.feature.describe: Converts two types of region descriptors.
ConvertPositive_F64_U8(int) - Constructor for class boofcv.abst.feature.describe.ConvertPositive_F64_U8
ConvertReal_F64_S8 - Class in boofcv.abst.feature.describe: Converts two types of region descriptors.
ConvertReal_F64_S8(int) - Constructor for class boofcv.abst.feature.describe.ConvertReal_F64_S8
ConvertTupleDesc<A extends TupleDesc,B extends TupleDesc> - Interface in boofcv.abst.feature.describe: Convert between different types of TupleDesc.
ConvertTupleDescOps - Class in boofcv.alg.feature.describe: Converts between different types of descriptions
ConvertTupleDescOps() - Constructor for class boofcv.alg.feature.describe.ConvertTupleDescOps
cookie - Variable in class boofcv.alg.tracker.klt.PyramidKltFeature: user specified data, not used by the tracker
copy() - Method in class boofcv.struct.feature.NccFeature
copy() - Method in class boofcv.struct.feature.ScalePoint
copy() - Method in class boofcv.struct.feature.SurfFeature
copy() - Method in interface boofcv.struct.feature.TupleDesc: Creates a copy of this description
copy() - Method in class boofcv.struct.feature.TupleDesc_B
copy() - Method in class boofcv.struct.feature.TupleDesc_F32
copy() - Method in class boofcv.struct.feature.TupleDesc_F64
copy() - Method in class boofcv.struct.feature.TupleDesc_S8
copy() - Method in class boofcv.struct.feature.TupleDesc_U8
correlation(TupleDesc_F64, TupleDesc_F64) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Correlation score
CORRELATION - Static variable in class boofcv.struct.feature.MatchScoreType: Correlation scores can be both positive and negative values.
countRegionPixels(ImageSInt32, int) - Static method in class boofcv.alg.segmentation.ImageSegmentationOps: Counts the number of instances of 'which' inside the labeled image.
countRegionPixels(ImageSInt32, int, int[]) - Static method in class boofcv.alg.segmentation.ImageSegmentationOps: Counts the number of pixels in all regions.
createDescription() - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
createDescription() - Method in interface boofcv.abst.feature.describe.DescriptorInfo: Creates new description instance which can be processed by this class
createDescription() - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribeSift
createDescription() - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
createDescription() - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
createDescription() - Method in class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
createDescription() - Method in class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
createDescription() - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
createDescription() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
createDescription() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
createDescription() - Method in class boofcv.alg.feature.describe.DescribePointSurf
createDescription() - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
createDescription() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
createFast(ConfigFast, ConfigGeneralDetector, Class<T>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Creates a Fast corner detector.
createFeature() - Method in class boofcv.alg.feature.describe.DescribePointBrief: Function which creates a description of the appropriate size.
createFeature() - Method in class boofcv.alg.feature.describe.DescribePointBriefSO
createGeneral(GradientCornerIntensity<D>, ConfigGeneralDetector) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint
createGeneral(GeneralFeatureIntensity<T, D>, ConfigGeneralDetector) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint
createGradient(boolean, int, Class<T>) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Creates a class for computing the image gradient from an integral image in a sparse fashion.
createHarris(ConfigGeneralDetector, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Detects Harris corners.
createHessian(HessianBlobIntensity.Type, ConfigGeneralDetector, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Creates a Hessian based blob detector.
createInstance() - Method in class boofcv.struct.feature.BriefFeatureQueue
createInstance() - Method in class boofcv.struct.feature.ColorQueue_F32
createInstance() - Method in class boofcv.struct.feature.NccFeatureQueue
createInstance() - Method in class boofcv.struct.feature.SurfFeatureQueue
createIntensity(TemplateScoreType, Class<T>) - Static method in class boofcv.factory.feature.detect.template.FactoryTemplateMatching: Creates TemplateMatchingIntensity of the specified type.
createKitRos(ConfigGeneralDetector, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Detects Kitchen and Rosenfeld corners.
createList() - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
createMatcher(TemplateScoreType, Class<T>) - Static method in class boofcv.factory.feature.detect.template.FactoryTemplateMatching: Creates an instance of TemplateMatching for the specified score type.
createMedian(ConfigGeneralDetector, Class<T>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Creates a median filter corner detector.
createNewTrack() - Method in class boofcv.alg.tracker.combined.PyramidKltForCombined
createOutput() - Method in class boofcv.abst.feature.describe.ConvertPositive_F64_U8
createOutput() - Method in class boofcv.abst.feature.describe.ConvertReal_F64_S8
createOutput() - Method in interface boofcv.abst.feature.describe.ConvertTupleDesc: Creates a new instance of the output type.
createQueue(DescribeRegionPoint<?, TD>, int) - Static method in class boofcv.alg.feature.UtilFeature: Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
createQueue(DetectDescribePoint<?, TD>, int) - Static method in class boofcv.alg.feature.UtilFeature: Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
createQueue(DetectDescribeMulti<?, TD>, int) - Static method in class boofcv.alg.feature.UtilFeature: Creates a FastQueue and declares new instances of the descriptor using the provided DetectDescribePoint.
createShiTomasi(ConfigGeneralDetector, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryDetectPoint: Detects Shi-Tomasi corners.
createSingleList() - Method in class boofcv.struct.feature.MatrixOfList
currDesc - Variable in class boofcv.alg.tracker.klt.KltTracker
currentDistance - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
currentLabel - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991

D

data - Variable in class boofcv.numerics.InterpolateArray
data - Variable in class boofcv.struct.feature.TupleDesc_B
data - Variable in class boofcv.struct.flow.ImageFlow
defaultScore(Class<D>) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Given a feature descriptor type it returns a "reasonable" default ScoreAssociation.
definition - Variable in class boofcv.alg.feature.describe.DescribePointBinaryCompare
definition - Variable in class boofcv.alg.feature.describe.DescribePointBriefSO
DenseFlowPyramidBase<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.flow: Base class for pyramidal dense flow algorithms based on IPOL papers.
DenseFlowPyramidBase(double, double, int, InterpolatePixelS<ImageFloat32>) - Constructor for class boofcv.alg.flow.DenseFlowPyramidBase
DenseOpticalFlow<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.abst.flow: High level interface for computing the dense optical flow across the whole image.
DenseOpticalFlowBlockPyramid<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.flow: Computes dense optical flow optical using pyramidal approach with square regions and a locally exhaustive search.
DenseOpticalFlowBlockPyramid(int, int, int, Class<T>) - Constructor for class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Configures the search.
DenseOpticalFlowBlockPyramid.F32 - Class in boofcv.alg.flow: Implementation for ImageFloat32
DenseOpticalFlowBlockPyramid.F32(int, int, int) - Constructor for class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.F32
DenseOpticalFlowBlockPyramid.U8 - Class in boofcv.alg.flow: Implementation for ImageUInt8
DenseOpticalFlowBlockPyramid.U8(int, int, int) - Constructor for class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.U8
DenseOpticalFlowKlt - Class in boofcv.alg.flow: Computes the dense optical flow using KltTracker.
DenseOpticalFlowKlt(PyramidKltTracker<I, D>, int, int) - Constructor for class boofcv.alg.flow.DenseOpticalFlowKlt
derivFlowUX - Variable in class boofcv.alg.flow.BroxWarpingSpacial
derivFlowUY - Variable in class boofcv.alg.flow.BroxWarpingSpacial
derivFlowVX - Variable in class boofcv.alg.flow.BroxWarpingSpacial
derivFlowVY - Variable in class boofcv.alg.flow.BroxWarpingSpacial
derivT - Variable in class boofcv.alg.flow.HornSchunck
derivX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
derivX - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
derivX - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
derivX - Variable in class boofcv.alg.feature.orientation.OrientationAverage
derivX - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
derivX - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
derivX - Variable in class boofcv.alg.flow.HornSchunck
derivX - Variable in class boofcv.alg.tracker.klt.KltFeature: Image derivative around the feature in the x-direction
derivX - Variable in class boofcv.alg.tracker.klt.KltTracker
derivX - Variable in class boofcv.alg.tracker.klt.PyramidKltTracker
derivXX - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
derivXY - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
derivY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
derivY - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
derivY - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
derivY - Variable in class boofcv.alg.feature.orientation.OrientationAverage
derivY - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
derivY - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
derivY - Variable in class boofcv.alg.flow.HornSchunck
derivY - Variable in class boofcv.alg.tracker.klt.KltFeature: Image derivative around the feature in the y-direction
derivY - Variable in class boofcv.alg.tracker.klt.KltTracker
derivY - Variable in class boofcv.alg.tracker.klt.PyramidKltTracker
derivYY - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
desc - Variable in class boofcv.alg.tracker.combined.CombinedTrack
desc - Variable in class boofcv.alg.tracker.klt.KltFeature: Pixel intensity around the feature
desc - Variable in class boofcv.alg.tracker.klt.PyramidKltFeature: KLT feature description for each layer in the pyramid
describe - Variable in class boofcv.alg.feature.describe.DescribePointBrief
describe(double, double, double, double, SurfFeature) - Method in class boofcv.alg.feature.describe.DescribePointSurf: Computes the SURF descriptor for the specified interest point.
describe(double, double, double, double, TupleDesc_F64) - Method in class boofcv.alg.feature.describe.DescribePointSurf: Compute SURF descriptor, but without laplacian sign
describe(double, double, double, double, SurfFeature) - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
describe - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
DescribeMultiSpectral<T extends boofcv.struct.image.ImageSingleBand,Desc extends TupleDesc> - Class in boofcv.alg.feature.describe: Computes a feature description from MultiSpectral images by computing a descriptor separately in each band.
DescribeMultiSpectral(DescribeRegionPoint<T, Desc>[]) - Constructor for class boofcv.alg.feature.describe.DescribeMultiSpectral: Configuration
DescribePointBinaryCompare<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: For each bit in the descriptor it samples two points inside an image patch and compares their values.
DescribePointBinaryCompare(BinaryCompareDefinition_I32) - Constructor for class boofcv.alg.feature.describe.DescribePointBinaryCompare
DescribePointBrief<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: BRIEF: Binary Robust Independent Elementary Features.
DescribePointBrief(DescribePointBinaryCompare<T>, BlurFilter<T>) - Constructor for class boofcv.alg.feature.describe.DescribePointBrief
DescribePointBriefSO<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Extension of DescribePointBrief which adds invariance to orientation and scale.
DescribePointBriefSO(BinaryCompareDefinition_I32, BlurFilter<T>, InterpolatePixelS<T>) - Constructor for class boofcv.alg.feature.describe.DescribePointBriefSO
DescribePointPixelRegion<T extends boofcv.struct.image.ImageSingleBand,D extends TupleDesc> - Class in boofcv.alg.feature.describe: Describes a rectangular region using its raw pixel intensities.
DescribePointPixelRegion(int, int) - Constructor for class boofcv.alg.feature.describe.DescribePointPixelRegion
DescribePointPixelRegionNCC<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Describes a rectangular region using its raw pixel intensities which have been normalized for intensity.
DescribePointPixelRegionNCC(int, int) - Constructor for class boofcv.alg.feature.describe.DescribePointPixelRegionNCC
DescribePointRectangleRegion<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Base class for describing a rectangular region using pixels.
DescribePointRectangleRegion(int, int) - Constructor for class boofcv.alg.feature.describe.DescribePointRectangleRegion
DescribePointSift - Class in boofcv.alg.feature.describe: Detects SIFT features inside the provided SIFT scale-space.
DescribePointSift(int, int, int, double, double) - Constructor for class boofcv.alg.feature.describe.DescribePointSift: Configures detector
DescribePointSurf<II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Implementation of the SURF feature descriptor, see [1].
DescribePointSurf(int, int, int, double, boolean, Class<II>) - Constructor for class boofcv.alg.feature.describe.DescribePointSurf: Creates a SURF descriptor of arbitrary dimension by changing how the local region is sampled.
DescribePointSurf(Class<II>) - Constructor for class boofcv.alg.feature.describe.DescribePointSurf: Create a SURF-64 descriptor.
DescribePointSurfMod<II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Modified SURF descriptor which attempts to smooth out edge conditions.
DescribePointSurfMod(int, int, int, int, double, double, boolean, Class<II>) - Constructor for class boofcv.alg.feature.describe.DescribePointSurfMod: Creates a SURF descriptor of arbitrary dimension by changing how the local region is sampled.
DescribePointSurfMod(Class<II>) - Constructor for class boofcv.alg.feature.describe.DescribePointSurfMod: Create a SURF-64 descriptor.
DescribePointSurfMultiSpectral<II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.describe: Computes a color SURF descriptor from a MultiSpectral image.
DescribePointSurfMultiSpectral(DescribePointSurf<II>, int) - Constructor for class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
DescribeRegionPoint<T extends boofcv.struct.image.ImageBase,Desc extends TupleDesc> - Interface in boofcv.abst.feature.describe: Computes a description of the local region around a point.
DescribeRegionPointConvert<T extends boofcv.struct.image.ImageSingleBand,In extends TupleDesc,Out extends TupleDesc> - Class in boofcv.abst.feature.describe: Converts the region descriptor type from the DescribeRegionPoint into the desired output using a ConvertTupleDesc.
DescribeRegionPointConvert(DescribeRegionPoint<T, In>, ConvertTupleDesc<In, Out>) - Constructor for class boofcv.abst.feature.describe.DescribeRegionPointConvert
DescriptorDistance - Class in boofcv.alg.feature.associate: Series of simple functions for computing difference distance measures between two descriptors.
DescriptorDistance() - Constructor for class boofcv.alg.feature.associate.DescriptorDistance
DescriptorInfo<Desc extends TupleDesc> - Interface in boofcv.abst.feature.describe: Provides information about the feature's descriptor.
detect(T) - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
detect(MultiSpectral<T>) - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
detect(ImageFloat32) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
detect(T) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
detect(T) - Method in interface boofcv.abst.feature.detect.interest.DetectorInterestPointMulti: Detects interest points inside the provided image.
detect(T) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
detect(T) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
detect(T) - Method in interface boofcv.abst.feature.detect.interest.InterestPointDetector: Detects interest points inside the provided image.
detect(T) - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
detect(GaussianScaleSpace<T, D>) - Method in interface boofcv.abst.feature.detect.interest.InterestPointScaleSpace: Detect features in the scale space image
detect(PyramidFloat<T>) - Method in interface boofcv.abst.feature.detect.interest.InterestPointScaleSpacePyramid: Detect features in the scale space image
detect(T) - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
detect(T) - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
detect(T) - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
detect(ImageFloat32) - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
detect(T) - Method in interface boofcv.abst.feature.detect.line.DetectLine: Detect lines inside the image.
detect(I) - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
detect(I) - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
detect(I) - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
detect(T) - Method in interface boofcv.abst.feature.detect.line.DetectLineSegment: Detect lines inside the image.
detect(T) - Method in class boofcv.abst.feature.detect.line.DetectLineSegmentsGridRansac
detect(II, MultiSpectral<II>) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral: Detects and describes features inside provide images.
detect(T, QueueCorner) - Method in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector: Detect features inside the image.
detect(II) - Method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Detect interest points inside of the image.
detect(PyramidFloat<T>) - Method in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid: Searches for features inside the provided scale space
detect(PyramidFloat<T>) - Method in class boofcv.alg.feature.detect.interest.FeaturePyramid: Searches for features inside the provided scale space
DetectDescribeFusion<T extends boofcv.struct.image.ImageSingleBand,TD extends TupleDesc> - Class in boofcv.abst.feature.detdesc: Wrapper class around independent feature detectors, region orientation, and descriptors, that allow them to be used as a single integrated unit.
DetectDescribeFusion(InterestPointDetector<T>, OrientationImage<T>, DescribeRegionPoint<T, TD>) - Constructor for class boofcv.abst.feature.detdesc.DetectDescribeFusion: Configures the algorithm.
DetectDescribeMulti<T extends boofcv.struct.image.ImageSingleBand,Desc extends TupleDesc> - Interface in boofcv.abst.feature.detdesc: Detects and describes different types of features inside an image.
DetectDescribeMultiFusion<T extends boofcv.struct.image.ImageSingleBand,TD extends TupleDesc> - Class in boofcv.abst.feature.detdesc: Wrapper class around independent multi feature detectors, region orientation, and descriptors, that allow them to be used as a single integrated unit.
DetectDescribeMultiFusion(DetectorInterestPointMulti<T>, OrientationImage<T>, DescribeRegionPoint<T, TD>) - Constructor for class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
DetectDescribePoint<T extends boofcv.struct.image.ImageBase,Desc extends TupleDesc> - Interface in boofcv.abst.feature.detdesc: Interface for detecting and describing point features.
DetectDescribeSift - Class in boofcv.alg.feature.detdesc: SIFT where detection, orientation estimation, and describing are done all at once.
DetectDescribeSift(SiftImageScaleSpace, SiftDetector, OrientationHistogramSift, DescribePointSift) - Constructor for class boofcv.alg.feature.detdesc.DetectDescribeSift
DetectDescribeSingleToMulti<T extends boofcv.struct.image.ImageSingleBand,TD extends TupleDesc> - Class in boofcv.abst.feature.detdesc: Allows DetectDescribePoint to be used as a DetectDescribeMulti.
DetectDescribeSingleToMulti(DetectDescribePoint<T, TD>) - Constructor for class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
DetectDescribeSurfMultiSpectral<II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detdesc: Computes a color SURF descriptor from a MultiSpectral image.
DetectDescribeSurfMultiSpectral(FastHessianFeatureDetector<II>, OrientationIntegral<II>, DescribePointSurfMultiSpectral<II>) - Constructor for class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
detectedDesc - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
detectEdgels(int, int, int, ImageFloat32, ImageFloat32, ImageUInt8) - Method in class boofcv.alg.feature.detect.line.gridline.ImplGridRansacLineDetector_F32
detectEdgels(int, int, int, ImageSInt16, ImageSInt16, ImageUInt8) - Method in class boofcv.alg.feature.detect.line.gridline.ImplGridRansacLineDetector_S16
detectEdgels(int, int, int, D, D, ImageUInt8) - Method in class boofcv.alg.feature.detect.line.GridRansacLineDetector: Computes edgel information for pixels which have been flagged inside a region
DetectGridRansacLine - Class in boofcv.abst.feature.detect.line
DetectGridRansacLine() - Constructor for class boofcv.abst.feature.detect.line.DetectGridRansacLine
DetectLine<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.detect.line: Interface for detecting lines inside images.
DetectLineHoughFoot - Class in boofcv.abst.feature.detect.line: Full processing chain for detecting lines using a foot of norm parametrization inside a Hough transform.
DetectLineHoughFoot(int, int, int, float, int, ImageGradient<I, D>) - Constructor for class boofcv.abst.feature.detect.line.DetectLineHoughFoot: Specifies detection parameters.
DetectLineHoughFootSubimage - Class in boofcv.abst.feature.detect.line: Detects lines inside the image by breaking it up into subimages for improved precision.
DetectLineHoughFootSubimage(int, int, int, float, int, int, int, ImageGradient<I, D>) - Constructor for class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage: Specifies detection parameters.
DetectLineHoughPolar - Class in boofcv.abst.feature.detect.line: Full processing chain for detecting lines using a Hough transform with polar parametrization.
DetectLineHoughPolar(int, int, double, double, float, int, ImageGradient<I, D>) - Constructor for class boofcv.abst.feature.detect.line.DetectLineHoughPolar: Configures hough line detector.
DetectLineSegment<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.detect.line: Interface for detecting line segments inside images.
DetectLineSegmentsGridRansac<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.line
DetectLineSegmentsGridRansac(GridRansacLineDetector<D>, ConnectLinesGrid, ImageGradient<T, D>, double, Class<T>, Class<D>) - Constructor for class boofcv.abst.feature.detect.line.DetectLineSegmentsGridRansac
detectMaximums - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: If true then local maximums will be found
detectMinimums - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: If false then local maximums will be found
detectOctave(II, int, int...) - Method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Computes feature intensities for all the specified feature sizes and finds features inside of the middle feature sizes.
detector - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
detector - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
detector - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
detector - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
DetectorInterestPointMulti<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.abst.feature.detect.interest: Interface for automatically detecting multiple types of interest points in images.
detectsMaximum - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
detectsMinimum - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
detectThreshold - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Minimum feature intensity.
detectThreshold - Variable in class boofcv.abst.feature.detect.interest.ConfigSiftDetector: Minimum corner intensity required.
determinant(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.HessianBlobIntensity: Feature intensity using the Hessian matrix's determinant.
determinant(ImageFloat32, ImageSInt16, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.HessianBlobIntensity: Feature intensity using the Hessian matrix's determinant.
determinant(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity
determinant(ImageFloat32, ImageSInt16, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity
direction(D, D, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures: Computes the edge orientation using the Math.atan(double) function.
direction(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan(double) function.
direction(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan(double) function.
direction(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan(double) function.
direction(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
direction(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
direction(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
direction2(D, D, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures: Computes the edge orientation using the Math.atan2(double, double) function.
direction2(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan2(double, double) function.
direction2(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan2(double, double) function.
direction2(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge orientation using the Math.atan2(double, double) function.
direction2(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
direction2(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
direction2(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
discretizeDirection4(ImageFloat32, ImageSInt8) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Converts an image containing edge angles (-pi/2 to pi/2) into a discrete set of angles.
discretizeDirection8(ImageFloat32, ImageSInt8) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Converts an image containing edge angles (-pi to pi) into a discrete set of 8 angles.
discretizer - Static variable in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
discretizer - Static variable in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32
disparity - Variable in class boofcv.alg.feature.disparity.SelectSparseStandardWta
DisparityAlgorithms - Enum in boofcv.factory.feature.disparity: List of disparity algorithms which can be selected through a high level interface
DisparityScoreRowFormat<Input extends boofcv.struct.image.ImageSingleBand,Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Base class for all dense stereo disparity score algorithms whose score's can be processed by DisparitySelect.
DisparityScoreRowFormat(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.DisparityScoreRowFormat: Configures disparity calculation.
DisparityScoreSadRect<Input extends boofcv.struct.image.ImageSingleBand,Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Computes the disparity SAD score efficiently for a single rectangular region while minimizing CPU cache misses.
DisparityScoreSadRect(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.DisparityScoreSadRect
DisparityScoreWindowFive<Input extends boofcv.struct.image.ImageSingleBand,Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Scores the disparity for a point using multiple rectangular regions in an effort to reduce errors at object borders, based off te 5 region algorithm described in [1].
DisparityScoreWindowFive(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.DisparityScoreWindowFive
DisparitySelect<Array,T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.disparity: Selects the best disparity given the set of scores calculated by DisparityScoreSadRect.
DisparitySparseScoreSadRect<ArrayData,Input extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Computes disparity SAD scores using a rectangular region at the specified points only along the x-axis.
DisparitySparseScoreSadRect(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect: Configures disparity calculation.
DisparitySparseSelect<ArrayType> - Interface in boofcv.alg.feature.disparity: Computes the disparity given disparity score calculations provided by DisparitySparseScoreSadRect.
distance - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.ClusterDistance
distance - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
distanceSq(float[], float[]) - Static method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Returns the Euclidean distance squared between the two vectors
divD - Variable in class boofcv.alg.flow.BroxWarpingSpacial
divU - Variable in class boofcv.alg.flow.BroxWarpingSpacial
divV - Variable in class boofcv.alg.flow.BroxWarpingSpacial
dog - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
doubleInputImage - Variable in class boofcv.abst.feature.describe.ConfigSiftScaleSpace: Should the input image be doubled? Try false.
downSample(ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Down samples an image by copying every other pixel, starting with pixel 1.
dropAllTracks() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Drops all tracks and recycles the data
dropTrack(CombinedTrack<TD>) - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Stops tracking the specified track and recycles its data.
dst - Variable in class boofcv.struct.feature.AssociatedIndex: index of the feature in the destination image
du - Variable in class boofcv.alg.flow.BroxWarpingSpacial
dv - Variable in class boofcv.alg.flow.BroxWarpingSpacial

E

EasyGeneralFeatureDetector<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.interest: Detects features using GeneralFeatureDetector but Handles all the derivative computations automatically.
EasyGeneralFeatureDetector(GeneralFeatureDetector<T, D>, Class<T>, Class<D>) - Constructor for class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector: Configures detector and uses default image derivatives.
EasyGeneralFeatureDetector(GeneralFeatureDetector<T, D>, ImageGradient<T, D>, ImageHessian<D>, Class<D>) - Constructor for class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector: Constructor which allows the user to specify how derivatives are computed
EdgeContour - Class in boofcv.alg.feature.detect.edge: Data structure containing the contour along an edge.
EdgeContour() - Constructor for class boofcv.alg.feature.detect.edge.EdgeContour
Edgel - Class in boofcv.alg.feature.detect.line.gridline: Describes an edge pixel found inside a region.
Edgel(float, float, float) - Constructor for class boofcv.alg.feature.detect.line.gridline.Edgel
Edgel() - Constructor for class boofcv.alg.feature.detect.line.gridline.Edgel
edgels - Variable in class boofcv.alg.feature.detect.line.GridRansacLineDetector
edges - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
edges - Variable in class boofcv.alg.segmentation.ms.ClusterLabeledImage
edges - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
EdgeSegment - Class in boofcv.alg.feature.detect.edge: A list of connected points along an edge.
EdgeSegment() - Constructor for class boofcv.alg.feature.detect.edge.EdgeSegment
edgesIn - Variable in class boofcv.alg.segmentation.ms.ClusterLabeledImage
edgesNotMatched - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
edgesOut - Variable in class boofcv.alg.segmentation.ms.ClusterLabeledImage
edgeThreshold - Variable in class boofcv.abst.feature.detect.interest.ConfigSiftDetector: Threshold for edge filtering.
EnforceUniqueByScore<A extends Associate> - Class in boofcv.abst.feature.associate: Ensures that the source and/or destination features are uniquely associated by resolving ambiguity using association score and preferring matches with better scores.
EnforceUniqueByScore(A, boolean, boolean) - Constructor for class boofcv.abst.feature.associate.EnforceUniqueByScore: Configures the algorithm to ensure source and/or destination features are unique.
EnforceUniqueByScore.Describe<Desc> - Class in boofcv.abst.feature.associate: Implementation of EnforceUniqueByScore for AssociateDescription.
EnforceUniqueByScore.Describe(AssociateDescription<Desc>, boolean, boolean) - Constructor for class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe
EnforceUniqueByScore.Describe2D<Desc> - Class in boofcv.abst.feature.associate: Implementation of EnforceUniqueByScore for AssociateDescription2D.
EnforceUniqueByScore.Describe2D(AssociateDescription2D<Desc>, boolean, boolean) - Constructor for class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe2D
EnsureUniqueAssociation - Class in boofcv.alg.feature.associate: Removes any ambiguous associations.
EnsureUniqueAssociation() - Constructor for class boofcv.alg.feature.associate.EnsureUniqueAssociation
error - Variable in class boofcv.alg.feature.shapes.FitData: Fitting error
euclidean(TupleDesc_F64, TupleDesc_F64) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Returns the Euclidean distance (L2-norm) between the two descriptors.
euclideanSq(TupleDesc_F64, TupleDesc_F64) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Returns the Euclidean distance squared between the two descriptors.
euclideanSq(TupleDesc_F32, TupleDesc_F32) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Returns the Euclidean distance squared between the two descriptors.
evaluate(int, int) - Method in class boofcv.alg.feature.detect.template.BaseTemplateIntensity: Evaluate the template at the specified location.
evaluate(int, int) - Method in class boofcv.alg.feature.detect.template.TemplateDiffSquared.F32
evaluate(int, int) - Method in class boofcv.alg.feature.detect.template.TemplateDiffSquared.U8
evaluate(int, int) - Method in class boofcv.alg.feature.detect.template.TemplateNCC.F32
evaluate(int, int) - Method in class boofcv.alg.feature.detect.template.TemplateNCC.U8
Ex - Variable in class boofcv.alg.tracker.klt.KltTracker
examineMaximum(ImageFloat32, QueueCorner, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
examineMinimum(ImageFloat32, QueueCorner, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
excludeMaximum - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
excludeMinimum - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
extractLines() - Method in class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Searches for local maximas and converts into lines.
extractLines() - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Searches for local maximas and converts into lines.
extractor - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
extractRadius - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Radius used for non-max-suppression.
extractRadius - Variable in class boofcv.abst.feature.detect.interest.ConfigSiftDetector: Size of the feature used to detect the corners.
extractTemplate(int, int, T) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Extracts a square template from the image 'prev' center at cx and cy
extractTemplate(int, int, ImageFloat32) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.F32
extractTemplate(int, int, ImageUInt8) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid.U8
Ey - Variable in class boofcv.alg.tracker.klt.KltTracker

F

FactoryAssociation - Class in boofcv.factory.feature.associate: Creates algorithms for associating TupleDesc_F64 features.
FactoryAssociation() - Constructor for class boofcv.factory.feature.associate.FactoryAssociation
FactoryBriefDefinition - Class in boofcv.alg.feature.describe.brief: Creates different brief descriptors.
FactoryBriefDefinition() - Constructor for class boofcv.alg.feature.describe.brief.FactoryBriefDefinition
FactoryConvertTupleDesc - Class in boofcv.factory.feature.describe: Factory for creating different types of ConvertTupleDesc, which are used for converting image region descriptors.
FactoryConvertTupleDesc() - Constructor for class boofcv.factory.feature.describe.FactoryConvertTupleDesc
FactoryDenseOpticalFlow - Class in boofcv.factory.flow: Creates implementations of DenseOpticalFlow.
FactoryDenseOpticalFlow() - Constructor for class boofcv.factory.flow.FactoryDenseOpticalFlow
FactoryDescribePointAlgs - Class in boofcv.factory.feature.describe: Creates algorithms for describing point features.
FactoryDescribePointAlgs() - Constructor for class boofcv.factory.feature.describe.FactoryDescribePointAlgs
FactoryDescribeRegionPoint - Class in boofcv.factory.feature.describe: Factory for creating implementations of DescribeRegionPoint.
FactoryDescribeRegionPoint() - Constructor for class boofcv.factory.feature.describe.FactoryDescribeRegionPoint
FactoryDetectDescribe - Class in boofcv.factory.feature.detdesc: Creates instances of DetectDescribePoint for different feature detectors/describers.
FactoryDetectDescribe() - Constructor for class boofcv.factory.feature.detdesc.FactoryDetectDescribe
FactoryDetectLineAlgs - Class in boofcv.factory.feature.detect.line: Factory for creating line and line segment detectors.
FactoryDetectLineAlgs() - Constructor for class boofcv.factory.feature.detect.line.FactoryDetectLineAlgs
FactoryDetectPoint - Class in boofcv.factory.feature.detect.interest: Creates instances of GeneralFeatureDetector, which detects the location of point features inside an image.
FactoryDetectPoint() - Constructor for class boofcv.factory.feature.detect.interest.FactoryDetectPoint
FactoryEdgeDetectors - Class in boofcv.factory.feature.detect.edge: Creates different types of edge detectors.
FactoryEdgeDetectors() - Constructor for class boofcv.factory.feature.detect.edge.FactoryEdgeDetectors
FactoryFeatureExtractor - Class in boofcv.factory.feature.detect.extract: Creates NonMaxSuppression for finding local maximums in feature intensity images.
FactoryFeatureExtractor() - Constructor for class boofcv.factory.feature.detect.extract.FactoryFeatureExtractor
FactoryImageSegmentation - Class in boofcv.factory.segmentation
FactoryImageSegmentation() - Constructor for class boofcv.factory.segmentation.FactoryImageSegmentation
FactoryIntensityPoint - Class in boofcv.factory.feature.detect.intensity: Provides intensity feature intensity algorithms which conform to the GeneralFeatureIntensity interface.
FactoryIntensityPoint() - Constructor for class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint
FactoryIntensityPointAlg - Class in boofcv.factory.feature.detect.intensity: Factory for creating various types of interest point intensity algorithms.
FactoryIntensityPointAlg() - Constructor for class boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg
FactoryInterestPoint - Class in boofcv.factory.feature.detect.interest: Factory for creating interest point detectors which conform to the InterestPointDetector interface
FactoryInterestPoint() - Constructor for class boofcv.factory.feature.detect.interest.FactoryInterestPoint
FactoryInterestPointAlgs - Class in boofcv.factory.feature.detect.interest: Factory for non-generic specific implementations of interest point detection algorithms.
FactoryInterestPointAlgs() - Constructor for class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs
FactoryOrientation - Class in boofcv.factory.feature.orientation: Factory for creating implementations of RegionOrientation that are used to estimate the orientation of a local pixel region..
FactoryOrientation() - Constructor for class boofcv.factory.feature.orientation.FactoryOrientation
FactoryOrientationAlgs - Class in boofcv.factory.feature.orientation
FactoryOrientationAlgs() - Constructor for class boofcv.factory.feature.orientation.FactoryOrientationAlgs
FactorySearchLocalPeak - Class in boofcv.factory.feature.detect.peak: Factory for implementations of SearchLocalPeak
FactorySearchLocalPeak() - Constructor for class boofcv.factory.feature.detect.peak.FactorySearchLocalPeak
FactorySegmentationAlg - Class in boofcv.factory.segmentation: Factory for low level segmentation algorithms.
FactorySegmentationAlg() - Constructor for class boofcv.factory.segmentation.FactorySegmentationAlg
FactoryStereoDisparity - Class in boofcv.factory.feature.disparity: Creates high level interfaces for computing the disparity between two rectified stereo images.
FactoryStereoDisparity() - Constructor for class boofcv.factory.feature.disparity.FactoryStereoDisparity
FactoryStereoDisparityAlgs - Class in boofcv.factory.feature.disparity: Algorithms related to computing the disparity between two rectified stereo images.
FactoryStereoDisparityAlgs() - Constructor for class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
FactoryTemplateMatching - Class in boofcv.factory.feature.detect.template: Factory for creating template matching algorithms.
FactoryTemplateMatching() - Constructor for class boofcv.factory.feature.detect.template.FactoryTemplateMatching
FactoryTrackerAlg - Class in boofcv.factory.tracker: Factory for creating feature trackers algorithms.
FactoryTrackerAlg() - Constructor for class boofcv.factory.tracker.FactoryTrackerAlg
fast(int, int, Class) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Feature intensity for Fast corner detector.
fast(int, int, Class<T>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg: Common interface for creating a FastCornerIntensity from different image types.
fast - Variable in class boofcv.factory.segmentation.ConfigSegmentMeanShift: Improve runtime by approximating running mean-shift on each pixel.
FastCornerIntensity<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity: Generic interface for fast corner detection algorithms.
FastCornerIntensity(FastHelper<T>) - Constructor for class boofcv.alg.feature.detect.intensity.FastCornerIntensity: Constructor
FastHelper<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.detect.intensity.impl
fastHessian(ConfigFastHessian) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPoint: Creates a FastHessianFeatureDetector detector which is wrapped inside an InterestPointDetector
fastHessian(ConfigFastHessian) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a Fast Hessian blob detector used by SURF.
FastHessianFeatureDetector<II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.interest: The Fast Hessian (FH) [1] interest point detector is designed to be a fast multi-scale "blob" detector.
FastHessianFeatureDetector(NonMaxSuppression, int, int, int, int, int) - Constructor for class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Defines the feature detector by specifying the size of features.
featureAngles - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
featureDOF - Variable in class boofcv.alg.feature.describe.DescribePointSurf
featureId - Variable in class boofcv.alg.tracker.combined.CombinedTrack
FeatureIntensity<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.detect.intensity: Base interface for classes which extract intensity images for image feature detection.
FeatureLaplacePyramid<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.interest: Feature detector across image pyramids that uses the Laplacian to determine strength in scale-space.
FeatureLaplacePyramid(GeneralFeatureDetector<T, D>, ImageFunctionSparse<T>, AnyImageDerivative<T, D>, double) - Constructor for class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid: Create a feature detector.
FeaturePyramid<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.interest: Detects scale invariant interest/corner points by computing the feature intensities across a pyramid of different scales.
FeaturePyramid(GeneralFeatureDetector<T, D>, AnyImageDerivative<T, D>, double) - Constructor for class boofcv.alg.feature.detect.interest.FeaturePyramid: Create a feature detector.
featureRadius - Variable in class boofcv.alg.tracker.combined.PyramidKltForCombined: The radius of each feature.
features(double, double, double, double, double, SparseImageGradient, double[]) - Method in class boofcv.alg.feature.describe.DescribePointSurf: Computes features in the SURF descriptor.
features(double, double, double, double, double, SparseImageGradient, double[]) - Method in class boofcv.alg.feature.describe.DescribePointSurfMod: An improved SURF descriptor as presented in CenSurE paper.
features - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
featureScales - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
fh04(ConfigFh04, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactoryImageSegmentation
fh04(ConfigFh04, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg
Fh04_to_ImageSuperpixels<T extends boofcv.struct.image.ImageBase> - Class in boofcv.abst.segmentation: Wrapper around SegmentFelzenszwalbHuttenlocher04 for ImageSuperpixels.
Fh04_to_ImageSuperpixels(SegmentFelzenszwalbHuttenlocher04<T>, ConnectRule) - Constructor for class boofcv.abst.segmentation.Fh04_to_ImageSuperpixels
FhEdgeWeights<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.alg.segmentation.fh04: Computes edge weights for SegmentFelzenszwalbHuttenlocher04.
FhEdgeWeights4_F32 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the absolute value of the different in pixel value for single band images.
FhEdgeWeights4_F32() - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_F32
FhEdgeWeights4_MsF32 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the F-norm different in pixel value for MultiSpectral images.
FhEdgeWeights4_MsF32(int) - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsF32
FhEdgeWeights4_MsU8 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the F-norm different in pixel value for MultiSpectral images.
FhEdgeWeights4_MsU8(int) - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsU8
FhEdgeWeights4_U8 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the absolute value of the different in pixel value for single band images.
FhEdgeWeights4_U8() - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_U8
FhEdgeWeights8_F32 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the absolute value of the different in pixel value for single band images.
FhEdgeWeights8_F32() - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_F32
FhEdgeWeights8_MsF32 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the F-norm different in pixel value for MultiSpectral images.
FhEdgeWeights8_MsF32(int) - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsF32
FhEdgeWeights8_MsU8 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the F-norm different in pixel value for MultiSpectral images.
FhEdgeWeights8_MsU8(int) - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsU8
FhEdgeWeights8_U8 - Class in boofcv.alg.segmentation.fh04.impl: Computes edge weight as the absolute value of the different in pixel value for single band images.
FhEdgeWeights8_U8() - Constructor for class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_U8
FHistogramNormalized - Class in boofcv.alg.feature.color: Color histogram of an image which is designed to be used for feature detection.
FHistogramNormalized(int, int) - Constructor for class boofcv.alg.feature.color.FHistogramNormalized
FHistogramOps - Class in boofcv.alg.feature.color: Image histogram operations with a focus on extracting features inside the image.
FHistogramOps() - Constructor for class boofcv.alg.feature.color.FHistogramOps
fifo - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
fillZero() - Method in class boofcv.struct.flow.ImageFlow
filterBlur - Variable in class boofcv.alg.feature.describe.DescribePointBrief
filterBlur - Variable in class boofcv.alg.feature.describe.DescribePointBriefSO
find(int) - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Finds the root given child.
findAdjacentRegions(ImageSInt32) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions: Go through each pixel in the image and examine its neighbors according to a 4-connect rule.
findFlow(int, int, T, ImageFlow.D) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Performs an exhaustive search centered around (cx,cy) for the region in 'curr' which is the best match for the template.
findFlow(D, D, D, ImageFlow) - Method in class boofcv.alg.flow.HornSchunck: Inner function for computing optical flow
findFlow(ImageFloat32, ImageFloat32, ImageFloat32, ImageFlow) - Method in class boofcv.alg.flow.HornSchunck_F32
findFlow(ImageSInt16, ImageSInt16, ImageSInt16, ImageFlow) - Method in class boofcv.alg.flow.HornSchunck_U8
findLocalScaleSpaceMax(PyramidFloat<T>, int) - Method in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid: See if each feature is a maximum in its local scale-space.
findLocalScaleSpaceMax(PyramidFloat<T>, int) - Method in class boofcv.alg.feature.detect.interest.FeaturePyramid: Searches the pyramid layers up and down to see if the found 2D features are also scale space maximums.
findPeak(float, float, float[]) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor: Uses mean-shift to find the peak.
findPeak(float, float, float) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray: Uses mean-shift to find the peak.
FindUnassociated - Class in boofcv.alg.feature.associate: Given a list of associated features, find all the unassociated features.
FindUnassociated() - Constructor for class boofcv.alg.feature.associate.FindUnassociated
FitData<Shape> - Class in boofcv.alg.feature.shapes: Structure that contains results from fitting a shape to a set of observations.
FitData(Shape) - Constructor for class boofcv.alg.feature.shapes.FitData
FitData() - Constructor for class boofcv.alg.feature.shapes.FitData
fitEllipse_F64(List<Point2D_F64>, int, boolean, FitData<EllipseRotated_F64>) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Computes the best fit ellipse based on minimizing Euclidean distance.
fitEllipse_I32(List<Point2D_I32>, int, boolean, FitData<EllipseRotated_F64>) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Convenience function.
fitPolygon(List<Point2D_I32>, boolean, double, double, int) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Fits a polygon to the provided sequence of connected points.
fitScore - Variable in class boofcv.struct.feature.AssociatedIndex: The association score.
fixed - Variable in class boofcv.abst.feature.describe.ConfigBrief: If true then a fixed sized descriptor is used.
FlowBlock_to_DenseOpticalFlow<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.flow: Wrapper around DenseOpticalFlowBlockPyramid for DenseOpticalFlow.
FlowBlock_to_DenseOpticalFlow(DenseOpticalFlowBlockPyramid<T>, double, int, Class<T>) - Constructor for class boofcv.abst.flow.FlowBlock_to_DenseOpticalFlow
flowCurrLayer - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
flowIntoRootNode(GrowQueue_I32) - Method in class boofcv.alg.segmentation.ms.RegionMergeTree: For each region in the merge list which is not a root node, find its root node and add to the root node its member count and set the index in mergeList to the root node.
flowKlt(PkltConfig, int, Class, Class<D>) - Static method in class boofcv.factory.flow.FactoryDenseOpticalFlow: Compute optical flow using PyramidKltTracker.
FlowKlt_to_DenseOpticalFlow - Class in boofcv.abst.flow: Wrapper around DenseOpticalFlowKlt for DenseOpticalFlow.
FlowKlt_to_DenseOpticalFlow(DenseOpticalFlowKlt<I, D>, ImageGradient<I, D>, ImagePyramid, ImagePyramid, Class, Class<D>) - Constructor for class boofcv.abst.flow.FlowKlt_to_DenseOpticalFlow
flowPrevLayer - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
flowU - Variable in class boofcv.alg.flow.BroxWarpingSpacial
flowV - Variable in class boofcv.alg.flow.BroxWarpingSpacial
flowX - Variable in class boofcv.alg.flow.HornSchunckPyramid
flowY - Variable in class boofcv.alg.flow.HornSchunckPyramid
forbiddenBorder - Variable in class boofcv.alg.tracker.klt.KltConfig: Due to how the image derivative and interpolation is performed outer most pixels.
foundMax - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
foundMaximum - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
foundMin - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
foundMinimum - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
foundPoints - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
foundPoints - Variable in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
foundPoints - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
FoundPointSO - Interface in boofcv.abst.feature.detect.interest: List of detected features that are invariant to scale and in-plane rotation.
fuseTogether(InterestPointDetector<T>, OrientationImage<T>, DescribeRegionPoint<T, D>) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Given independent algorithms for feature detection, orientation, and describing, create a new DetectDescribePoint.

G

g - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
gamma - Variable in class boofcv.alg.flow.BroxWarpingSpacial
gamma - Variable in class boofcv.alg.flow.ConfigBroxWarping: Gradient difference weighting factor.
gaussian(Random, int, int) - Static method in class boofcv.alg.feature.describe.brief.FactoryBriefDefinition: Creates a descriptor by randomly selecting points inside a square region using a Gaussian distribution with a sigma of (5/2)*radius.
gaussian2(Random, int, int) - Static method in class boofcv.alg.feature.describe.brief.FactoryBriefDefinition
general(GeneralFeatureIntensity<I, D>, NonMaxSuppression, int) - Static method in class boofcv.factory.feature.detect.extract.FactoryFeatureExtractor: Creates a generalized feature detector/extractor that adds n-best capability to NonMaxSuppression and performs other house keeping tasks.
GeneralFeatureDetector - Class in boofcv.alg.feature.detect.interest: Detects features which are local maximums and/or local minimums in the feature intensity image.
GeneralFeatureDetector(GeneralFeatureIntensity<I, D>, NonMaxSuppression) - Constructor for class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Specifies which algorithms to use and configures the detector.
GeneralFeatureDetector() - Constructor for class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
GeneralFeatureIntensity - Interface in boofcv.abst.feature.detect.intensity: Extracts corners from a the image and or its gradient.
GeneralToInterestMulti<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Allows a GeneralFeatureDetector to be used inside a DetectorInterestPointMulti.
GeneralToInterestMulti(GeneralFeatureDetector<T, D>, double, Class<T>, Class<D>) - Constructor for class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
GeneralToInterestPoint<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Wrapper around GeneralFeatureDetector to make it compatible with InterestPointDetector.
GeneralToInterestPoint(GeneralFeatureDetector<T, D>, double, Class<T>, Class<D>) - Constructor for class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
GeneralToInterestPoint(GeneralFeatureDetector<T, D>, ImageGradient<T, D>, ImageHessian<D>, double, Class<D>) - Constructor for class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
generate(List<Edgel>, LinePolar2D_F32) - Method in class boofcv.alg.feature.detect.line.gridline.GridLineModelFitter
get(int, int) - Method in class boofcv.struct.feature.MatrixOfList
get(int, int) - Method in class boofcv.struct.flow.ImageFlow
getAlg() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getAssoc() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic
getBestCorners() - Method in class boofcv.alg.feature.detect.extract.SelectNBestFeatures
getBinary() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
getBinary() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
getBinary() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
getBorder() - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
getBorder() - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
getBorder() - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
getBorderT(ImageFloat32, ImageFloat32, int, int) - Static method in class boofcv.alg.flow.HornSchunck_F32
getBorderT(ImageUInt8, ImageUInt8, int, int) - Static method in class boofcv.alg.flow.HornSchunck_U8
getBorderX() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Border around the image's x-axis which is not processed.
getBorderX() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: Border around the image's x-axis which is not processed.
getBorderX() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getBorderX() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getBorderX() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getBorderX() - Method in class boofcv.alg.feature.disparity.DisparityScoreWindowFive
getBorderY() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Border around the image's y-axis which is not processed.
getBorderY() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: Border around the image's y-axis which is not processed.
getBorderY() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getBorderY() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getBorderY() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getBorderY() - Method in class boofcv.alg.feature.disparity.DisparityScoreWindowFive
getCandidates() - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
getCandidatesMax() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: (Optional) Returns a list of candidate for local maximums.
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
getCandidatesMax() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
getCandidatesMin() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: (Optional) Returns a list of candidate for local minimums.
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
getCandidatesMin() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
getClusters() - Method in class boofcv.alg.segmentation.slic.SegmentSlic
getConfig() - Method in class boofcv.alg.tracker.klt.KltTracker
getConnectRule() - Method in class boofcv.alg.segmentation.slic.SegmentSlic
getContours() - Method in class boofcv.alg.feature.detect.edge.CannyEdge
getContours() - Method in class boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints: Returns the found contours.
getCookie() - Method in class boofcv.alg.tracker.combined.CombinedTrack
getCookie() - Method in class boofcv.alg.tracker.klt.PyramidKltFeature
getDefinition() - Method in class boofcv.alg.feature.describe.DescribePointBinaryCompare
getDefinition() - Method in class boofcv.alg.feature.describe.DescribePointBrief
getDefinition() - Method in class boofcv.alg.feature.describe.DescribePointBriefSO
getDerivativeX(int) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
getDerivativeY(int) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
getDerivX() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
getDerivX() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
getDerivX() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
getDerivY() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
getDerivY() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
getDerivY() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
getDescribe() - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
getDescribe() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getDescription(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getDescription(int) - Method in interface boofcv.abst.feature.detdesc.DetectDescribePoint: Returns the feature descriptor at the specified index.
getDescription(int) - Method in interface boofcv.abst.feature.detdesc.PointDescSet: Returns the description of the specified feature.
getDescription(int) - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getDescription(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getDescription(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getDescription(int) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getDescriptionLength() - Method in class boofcv.alg.feature.describe.DescribePointSurf
getDescriptionType() - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
getDescriptionType() - Method in interface boofcv.abst.feature.describe.DescriptorInfo: The type of region descriptor generated
getDescriptionType() - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribeSift
getDescriptionType() - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getDescriptionType() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getDescriptionType() - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral
getDescriptionType() - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
getDescriptorLength() - Method in class boofcv.alg.feature.describe.DescribePointRectangleRegion
getDescriptorLength() - Method in class boofcv.alg.feature.describe.DescribePointSift
getDescriptorLength() - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
getDescriptorLength() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift
getDescriptorType() - Method in class boofcv.alg.feature.describe.DescribePointPixelRegion: The type of region descriptor generated
getDescriptorType() - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_F32
getDescriptorType() - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_U8
getDetector() - Method in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
getDetector() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Return the computed disparity image.
getDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: The found disparity at the selected point
getDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getDisparity() - Method in interface boofcv.alg.feature.disparity.DisparitySparseSelect: Returns the found disparity
getDisparity() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_F32
getDisparity() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_S32
getDisparity() - Method in class boofcv.alg.feature.disparity.SelectSparseStandardWta
getDisparityType() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Type of disparity image it can write to.
getDisparityType() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getDisparityType() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getDisparityType() - Method in interface boofcv.alg.feature.disparity.DisparitySelect: Type of image the disparity is
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_F32
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_S16
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_F32
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_S16
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_F32_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_S32_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_F32_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_S32_U8
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.F32_F32
getDisparityType() - Method in class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.S32_F32
getDormant() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getDouble(int) - Method in interface boofcv.struct.feature.TupleDesc: Returns the value of a tuple's element as a double.
getDouble(int) - Method in class boofcv.struct.feature.TupleDesc_B
getDouble(int) - Method in class boofcv.struct.feature.TupleDesc_F32
getDouble(int) - Method in class boofcv.struct.feature.TupleDesc_F64
getDouble(int) - Method in class boofcv.struct.feature.TupleDesc_S8
getDouble(int) - Method in class boofcv.struct.feature.TupleDesc_U8
getEdgeIntensity() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
getEdgeIntensity() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
getEdgeIntensity() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
getError() - Method in class boofcv.alg.tracker.klt.KltTracker: Average absolute value of the difference between each pixel in the image and the template
getError() - Method in class boofcv.alg.tracker.klt.PyramidKltTracker: Average error between track template and the image.
getExtend(ImageFlow, int, int) - Static method in class boofcv.alg.flow.HornSchunck
getFeatureAngles() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift
getFeatures() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift
getFeatureScales() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift
getFeatureSet(int) - Method in interface boofcv.abst.feature.detdesc.DetectDescribeMulti: Returns the most recently detected features for a specific set.
getFeatureSet(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
getFeatureSet(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
getFeatureSet(int) - Method in interface boofcv.abst.feature.detect.interest.DetectorInterestPointMulti: Returns the most recently detected features for a specific set.
getFeatureSet(int) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
getFitQuality() - Method in class boofcv.alg.feature.associate.AssociateGreedy: Quality of fit scores for each association.
getFlowX() - Method in class boofcv.alg.flow.BroxWarpingSpacial
getFlowX() - Method in class boofcv.alg.flow.HornSchunckPyramid
getFlowY() - Method in class boofcv.alg.flow.BroxWarpingSpacial
getFlowY() - Method in class boofcv.alg.flow.HornSchunckPyramid
getFoundIntensity() - Method in class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Returns the intensity/edge count for each returned line.
getFoundIntensity() - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Returns the intensity/edge count for each returned line.
getFoundLines() - Method in class boofcv.alg.feature.detect.line.GridRansacLineDetector: Returns all the found line segments contained in a grid.
getFoundPoints() - Method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Returns all the found interest points.
getFoundPoints() - Method in class boofcv.alg.feature.detect.interest.SiftDetector: Returns all the found points
getHeight() - Method in class boofcv.struct.feature.MatrixOfList
getHeight() - Method in class boofcv.struct.flow.ImageFlow
getIgnoreBorder() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Returns the size of the image border which is not processed.
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
getIgnoreBorder() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Pixels within this distance from the image border are not processed.
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity: No ignore border unless the derivative has an ignore border
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity: There is no ignore border, unless the derivative that it is computed from has an ignore border.
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
getIgnoreBorder() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
getIgnoreBorder() - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
getIgnoreBorder() - Method in interface boofcv.alg.feature.detect.intensity.FeatureIntensity: Size of the region surrounding the image's border in which pixels are not processed.
getIgnoreBorder() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
getIgnoreBorder() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerNaive
getIgnoreBorder() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
getIgnoreBorder() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
getImageIndex() - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: Which image in the scale space is being used.
getImageType() - Method in interface boofcv.abst.feature.describe.DescribeRegionPoint: Description of the type of image it can process
getImageType() - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
getImageType() - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribeSift
getImageType() - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
getImageType() - Method in interface boofcv.abst.feature.orientation.OrientationGradient: Returns the type of image it can process.
getImageType() - Method in class boofcv.abst.feature.orientation.OrientationGradientToImage
getImageType() - Method in interface boofcv.abst.feature.orientation.OrientationImage: Returns the type of image it can process.
getImageType() - Method in interface boofcv.abst.feature.orientation.OrientationIntegral: Returns the type of image it can process.
getImageType() - Method in class boofcv.abst.feature.orientation.OrientationIntegralToImage
getImageType() - Method in class boofcv.abst.feature.orientation.OrientationSiftToImage
getImageType() - Method in class boofcv.abst.segmentation.Fh04_to_ImageSuperpixels
getImageType() - Method in interface boofcv.abst.segmentation.ImageSuperpixels: Type of input image it can process
getImageType() - Method in class boofcv.abst.segmentation.MeanShift_to_ImageSuperpixels
getImageType() - Method in class boofcv.abst.segmentation.Slic_to_ImageSuperpixels
getImageType() - Method in class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
getImageType() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
getImageType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_F32
getImageType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_S16
getImageType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_U8
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_F32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S16
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_F32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S16
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_F32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_U8
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_F32
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S16
getImageType() - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S32
getImageType() - Method in class boofcv.alg.feature.orientation.OrientationIntegralBase
getImageType() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShift
getImageType() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
getImageType() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
getImageType() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray
getImageType() - Method in class boofcv.alg.segmentation.slic.SegmentSlic
getInputType() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Type of input images it can process
getInputType() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: Type of input images it can process
getInputType() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getInputType() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getInputType() - Method in class boofcv.abst.flow.BroxWarpingSpacial_to_DenseOpticalFlow
getInputType() - Method in interface boofcv.abst.flow.DenseOpticalFlow: Input image type
getInputType() - Method in class boofcv.abst.flow.FlowBlock_to_DenseOpticalFlow
getInputType() - Method in class boofcv.abst.flow.FlowKlt_to_DenseOpticalFlow
getInputType() - Method in class boofcv.abst.flow.HornSchunck_to_DenseOpticalFlow
getInputType() - Method in class boofcv.abst.flow.HornSchunckPyramid_to_DenseOpticalFlow
getInputType() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_F32
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_S16
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_U8
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_F32
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_S16
getInputType() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_U8
getInputType() - Method in interface boofcv.alg.segmentation.fh04.FhEdgeWeights
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_F32
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsF32
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsU8
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_U8
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_F32
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsF32
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsU8
getInputType() - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_U8
getInputType() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
getIntensity() - Method in class boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity
getIntensity() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Returns an image containing an intensity mapping showing how corner like each pixel is.
getIntensity() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
getIntensity() - Method in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
getIntensity() - Method in interface boofcv.alg.feature.detect.template.TemplateMatchingIntensity: Contains results of template matching.
getIntensity(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Intensity of the pixel at the specified location
getIntensity(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_F32
getIntensity(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsF32
getIntensity(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsU8
getIntensity(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_U8
getInterestPoints() - Method in interface boofcv.abst.feature.detect.interest.InterestPointScaleSpace: Returns all the found interest points
getInterestPoints() - Method in interface boofcv.abst.feature.detect.interest.InterestPointScaleSpacePyramid: Returns all the found interest points
getInterestPoints() - Method in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
getInterestPoints() - Method in class boofcv.alg.feature.detect.interest.FeaturePyramid
getKappa() - Method in interface boofcv.alg.feature.detect.intensity.HarrisCornerIntensity: Returns the value of the tuning parameter.
getKappa() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_F32
getKappa() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_S16
getKappa() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_F32
getKappa() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_S16
getLength() - Method in class boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32: Length of the descriptor (or number of bits required to encode it)
getLocalMaxDisparity() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect: How many disparity values were considered.
getLocation(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getLocation(int) - Method in interface boofcv.abst.feature.detdesc.PointDescSet: The center location of the feature inside the image.
getLocation(int) - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getLocation(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getLocation(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getLocation(int) - Method in interface boofcv.abst.feature.detect.interest.FoundPointSO: The center location of the feature inside the image.
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
getLocation(int) - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
getLocation() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift
getLocation(int) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getMatches() - Method in interface boofcv.abst.feature.associate.Associate: List of associated features.
getMatches() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
getMatches() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
getMatches() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
getMatches() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
getMatches() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
getMatches() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic: Returns a list of found matches.
getMatches() - Method in class boofcv.alg.feature.associate.AssociateUniqueByScoreAlg
getMatches() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
getMatches() - Method in class boofcv.alg.feature.associate.EnsureUniqueAssociation: List of unambiguous matches.
getMaxDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: The maximum disparity which will be checked for.
getMaxDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: The maximum disparity which will be checked for.
getMaxDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getMaxDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getMaxDisparity() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getMaxDisparity() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
getMaxDistance() - Method in interface boofcv.alg.feature.associate.AssociateMaxDistance
getMaxDistance() - Method in class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
getMaxDistance() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
getMaximums() - Method in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
getMaximums() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Returns a list of all the found maximums.
getMinDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparity: The minimum disparity which will be checked for.
getMinDisparity() - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: The minimum disparity which will be checked for.
getMinDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
getMinDisparity() - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
getMinDisparity() - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
getMinDisparity() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
getMinimumPoints() - Method in class boofcv.alg.feature.detect.line.gridline.GridLineModelFitter
getMinimums() - Method in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
getMinimums() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Returns a list of all the found maximums.
getModeColor() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
getModeLocation() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Location of each peak in the image
getNumBands() - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
getNumberOfFeatures() - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getNumberOfFeatures() - Method in interface boofcv.abst.feature.detdesc.PointDescSet: Returns the number of detected features
getNumberOfFeatures() - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getNumberOfFeatures() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getNumberOfFeatures() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getNumberOfFeatures() - Method in interface boofcv.abst.feature.detect.interest.FoundPointSO: Returns the number of interest points found.
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
getNumberOfFeatures() - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
getNumberOfFeatures() - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getNumberOfRegions() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShift: The number of regions which it found in the image.
getNumberOfSets() - Method in interface boofcv.abst.feature.detdesc.DetectDescribeMulti: The number of feature sets.
getNumberOfSets() - Method in class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
getNumberOfSets() - Method in class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
getNumberOfSets() - Method in interface boofcv.abst.feature.detect.interest.DetectorInterestPointMulti: The number of families.
getNumberOfSets() - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
getNumBinsAngle() - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar
getNumBinsRange() - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar
getNumOctaves() - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
getNumScales() - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
getOffsetX() - Method in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
getOffsetX() - Method in interface boofcv.alg.feature.detect.template.TemplateMatchingIntensity: Offset from template's top left corner x-coordinate
getOffsetY() - Method in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
getOffsetY() - Method in interface boofcv.alg.feature.detect.template.TemplateMatchingIntensity: Offset from template's top left corner y-coordinate
getOpticalFlow() - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Returns the found optical flow
getOrientation(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getOrientation(int) - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getOrientation(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getOrientation(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getOrientation(int) - Method in interface boofcv.abst.feature.detect.interest.FoundPointSO: Returns the features found orientation.
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
getOrientation(int) - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
getOrientation(int) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getOrientations() - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: A list of found orientations
getOutput() - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Segmented output image with watersheds.
getOutputBorder() - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: The entire segmented image used internally.
getOutputType() - Method in class boofcv.abst.feature.describe.ConvertPositive_F64_U8
getOutputType() - Method in class boofcv.abst.feature.describe.ConvertReal_F64_S8
getOutputType() - Method in interface boofcv.abst.feature.describe.ConvertTupleDesc: Returns the class type of the output descriptor
getPairs() - Method in class boofcv.alg.feature.associate.AssociateGreedy: Returns a list of association pairs.
getPeakOrientation() - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: Orientation of the largest peak
getPeakX() - Method in class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
getPeakX() - Method in interface boofcv.abst.feature.detect.peak.SearchLocalPeak: Location of the found peak.
getPeakX() - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak
getPeakY() - Method in class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
getPeakY() - Method in interface boofcv.abst.feature.detect.peak.SearchLocalPeak: Location of the found peak.
getPeakY() - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak
getPixelScale() - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: The ratio of pixels in the octave to original image
getPixelToRegion() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: From peak index to pixel index
getPureKlt() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getPyramidLayer(int) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
getRadius() - Method in class boofcv.alg.feature.describe.DescribePointSurf
getRadius() - Method in class boofcv.alg.feature.describe.DescribePointSurfMod
getRadius() - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
getRadius() - Method in interface boofcv.alg.feature.detect.intensity.FeatureIntensity: Returns the radius of the feature being computed.
getRadius() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
getRadius() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerNaive
getRadius() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
getRadius() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
getRadius() - Method in class boofcv.alg.feature.orientation.OrientationAverage
getRadius() - Method in class boofcv.alg.feature.orientation.OrientationHistogram
getRadius() - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow
getRadiusX() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
getRadiusY() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
getReactivated() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getRegionColor() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShift: Average color of each region
getRegionHeight() - Method in class boofcv.alg.feature.describe.DescribePointRectangleRegion
getRegionId() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: List of ID's for each region in the segmented image.
getRegionMemberCount() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Number of pixels which each peak as a member
getRegionMemberCount() - Method in class boofcv.alg.segmentation.slic.SegmentSlic
getRegionRadius() - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
getRegionSize() - Method in class boofcv.alg.segmentation.ms.SegmentMeanShift: Number of pixels in each region
getRegionSizes() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Number of pixels in each region
getRegionWidth() - Method in class boofcv.alg.feature.describe.DescribePointRectangleRegion
getRequiresGradient() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: If the image gradient is required for calculations.
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
getRequiresGradient() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
getRequiresGradient() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: If the image gradient is required for calculations.
getRequiresHessian() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Is the image's second derivative required?
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
getRequiresHessian() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
getRequiresHessian() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: If the image Hessian is required for calculations.
getResults() - Method in class boofcv.alg.feature.detect.template.TemplateMatching: Returns all the found matches.
getRule() - Method in class boofcv.abst.segmentation.Fh04_to_ImageSuperpixels
getRule() - Method in interface boofcv.abst.segmentation.ImageSuperpixels: Connectivity rule used to determine if a pixel is connected
getRule() - Method in class boofcv.abst.segmentation.MeanShift_to_ImageSuperpixels
getRule() - Method in class boofcv.abst.segmentation.Slic_to_ImageSuperpixels
getRule() - Method in class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
getScale(int) - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
getScale(int) - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
getScale(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
getScale(int) - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
getScale(int) - Method in interface boofcv.abst.feature.detect.interest.FoundPointSO: Scale of the detected feature in scale space.
getScale() - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
getScale(int) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
getScale(int) - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
getScale(int) - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
getScale(int) - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
getScale(int) - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
getScale(int) - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
getScale(int) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSurfMultiSpectral
getScale() - Method in class boofcv.struct.feature.ScalePoint
getScore() - Method in class boofcv.alg.feature.associate.AssociateGreedy
getScore() - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect: Array containing disparity score values at most recently processed point.
getScore() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_F32
getScore() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_S16
getScore() - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_U8
getScoreType() - Method in interface boofcv.abst.feature.associate.Associate: Specifies the type of score which is returned.
getScoreType() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
getScoreType() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
getScoreType() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateCorrelation
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F32
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F64
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateHamming_B
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateNccFeature
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_F32
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_F64
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_S8
getScoreType() - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_U8
getScoreType() - Method in interface boofcv.abst.feature.associate.ScoreAssociation: Specifies the type of score which is returned.
getScoreType() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
getScoreType() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
getScoreType() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
getSearchRadius() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Describes how large the region is that is being searched.
getSearchRadius() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
getSearchRadius() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
getSearchRadius() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
getSearchRadius() - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
getSearchRadius() - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
getSearchRadius() - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
getSearchRadius() - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
getSmallestWidth() - Method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Returns the width of the smallest feature it can detect
getSpawned() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getSplits() - Method in class boofcv.alg.feature.shapes.SplitMergeLineFit: List of point indexes in the contour.
getThreshold() - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
getThreshold() - Method in class boofcv.alg.feature.detect.extract.ThresholdCornerExtractor
getThreshold() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Returns the current feature extraction threshold.
getThresholdMax() - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
getThresholdMax() - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
getThresholdMaximum() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Minimum value for detected maximums
getThresholdMaximum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
getThresholdMaximum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
getThresholdMaximum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
getThresholdMin() - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
getThresholdMin() - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
getThresholdMinimum() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Maximum value for detected minimums
getThresholdMinimum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
getThresholdMinimum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
getThresholdMinimum() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
getTotalRegions() - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Returns the total number of regions labeled.
getTotalSuperpixels() - Method in class boofcv.abst.segmentation.Fh04_to_ImageSuperpixels
getTotalSuperpixels() - Method in interface boofcv.abst.segmentation.ImageSuperpixels: Returns the total number of image segments/superpixels found
getTotalSuperpixels() - Method in class boofcv.abst.segmentation.MeanShift_to_ImageSuperpixels
getTotalSuperpixels() - Method in class boofcv.abst.segmentation.Slic_to_ImageSuperpixels
getTotalSuperpixels() - Method in class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
getTrackerKlt() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
getTransform() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFoot
getTransform() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughFootSubimage
getTransform() - Method in class boofcv.abst.feature.detect.line.DetectLineHoughPolar
getTransform() - Method in class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Returns the Hough transform image.
getTransform() - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Returns the Hough transform image.
getUnassociatedDestination() - Method in interface boofcv.abst.feature.associate.Associate: Indexes of features in the destination set which are not associated.
getUnassociatedDestination() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
getUnassociatedDestination() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
getUnassociatedDestination() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
getUnassociatedDestination() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
getUnassociatedDestination() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
getUnassociatedDestination() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
getUnassociatedSource() - Method in interface boofcv.abst.feature.associate.Associate: Indexes of features in the source set which are not associated.
getUnassociatedSource() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
getUnassociatedSource() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
getUnassociatedSource() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
getUnassociatedSource() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
getUnassociatedSource() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
getUnassociatedSource() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
getUnassociatedSrc() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic
getUsesCandidates() - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Returns true if the algorithm requires a candidate list of corners.
getUsesCandidates() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
getUsesCandidates() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
getUsesCandidates() - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
getValue() - Method in class boofcv.struct.feature.TupleDesc_F32
getValue() - Method in class boofcv.struct.feature.TupleDesc_F64
getValue() - Method in class boofcv.struct.feature.TupleDesc_I8
getWeights() - Method in class boofcv.alg.feature.orientation.OrientationAverage
getWeights() - Method in class boofcv.alg.feature.orientation.OrientationHistogram
getWeights() - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow
getWidth() - Method in class boofcv.struct.feature.MatrixOfList
getWidth() - Method in class boofcv.struct.flow.ImageFlow
getX() - Method in class boofcv.struct.flow.ImageFlow.D
getY() - Method in class boofcv.struct.flow.ImageFlow.D
GGradientToEdgeFeatures - Class in boofcv.alg.feature.detect.edge: Image type agnostic version of GradientToEdgeFeatures.
GGradientToEdgeFeatures() - Constructor for class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures
GIntegralImageFeatureIntensity - Class in boofcv.alg.feature.detect.intensity
GIntegralImageFeatureIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.GIntegralImageFeatureIntensity
gradient - Variable in class boofcv.alg.feature.describe.DescribePointSurf
gradient(T, double, double, double, int, double, boolean, double[], double[]) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Computes the of a square region.
gradient - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
gradient(int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Computes the gradient at the specified pixel
gradient_noborder(ImageFloat32, double, double, double, int, double, float[], float[]) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Faster version of SurfDescribeOps.gradient(T, double, double, double, int, double, boolean, double[], double[]) which assumes the region is entirely contained inside the of the image.
gradient_noborder(ImageSInt32, double, double, double, int, double, int[], int[]) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Faster version of SurfDescribeOps.gradient(T, double, double, double, int, double, boolean, double[], double[]) which assumes the region is entirely contained inside the of the image.
GradientCornerIntensity<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.detect.intensity: Several different types of corner detectors [1,2] all share the same initial processing steps.
gradientInner(ImageFloat32, double, double, double, int, double, float[], float[]) - Static method in class boofcv.alg.feature.describe.impl.ImplSurfDescribeOps: Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage.
gradientInner(ImageSInt32, double, double, double, int, double, int[], int[]) - Static method in class boofcv.alg.feature.describe.impl.ImplSurfDescribeOps: Computes the gradient for a using the derivX kernel found in DerivativeIntegralImage.
gradientSafe - Variable in class boofcv.alg.feature.describe.DescribePointSurf
GradientToEdgeFeatures - Class in boofcv.alg.feature.detect.edge: Give the image's gradient in the x and y direction compute the edge's intensity and orientation.
GradientToEdgeFeatures() - Constructor for class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures
graph - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
greedy(ScoreAssociation<D>, double, boolean) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Returns an algorithm for associating features together which uses a brute force greedy algorithm.
grid - Variable in class boofcv.struct.feature.MatrixOfList
gridInterval - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
GridLineModelDistance - Class in boofcv.alg.feature.detect.line.gridline: Computes the distance of a point from the line.
GridLineModelDistance(float) - Constructor for class boofcv.alg.feature.detect.line.gridline.GridLineModelDistance
GridLineModelFitter - Class in boofcv.alg.feature.detect.line.gridline: Used by GridRansacLineDetector to fit edgels inside a region to a line.
GridLineModelFitter(float) - Constructor for class boofcv.alg.feature.detect.line.gridline.GridLineModelFitter
GridRansacLineDetector<D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.line: Line segment feature detector.
GridRansacLineDetector(int, int, ModelMatcher<LinePolar2D_F32, Edgel>) - Constructor for class boofcv.alg.feature.detect.line.GridRansacLineDetector: Specifies major configuration parameters.
gridWidth - Variable in class boofcv.abst.feature.describe.ConfigSiftDescribe: Number of grid elements along a side.
Gxx - Variable in class boofcv.alg.tracker.klt.KltFeature: spatial gradient matrix used in updating the feature's position
Gxx - Variable in class boofcv.alg.tracker.klt.KltTracker
Gxy - Variable in class boofcv.alg.tracker.klt.KltFeature: spatial gradient matrix used in updating the feature's position
Gxy - Variable in class boofcv.alg.tracker.klt.KltTracker
Gyy - Variable in class boofcv.alg.tracker.klt.KltFeature: spatial gradient matrix used in updating the feature's position
Gyy - Variable in class boofcv.alg.tracker.klt.KltTracker

H

hamming(TupleDesc_B, TupleDesc_B) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Computes the hamming distance between two binary feature descriptors
hamming(int) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Computes the hamming distance.
HammingTable16 - Class in boofcv.alg.feature.associate: Lookup table for hamming distance from 16-bit variables
HammingTable16() - Constructor for class boofcv.alg.feature.associate.HammingTable16
handleNeighborAssign(int, int) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
harris(int, float, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Feature intensity for Harris corner detector.
harris(int, float, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg: Common interface for creating a HarrisCornerIntensity from different image types.
HarrisCornerIntensity<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.detect.intensity: The Harris corner detector [1] is similar to the ShiTomasiCornerIntensity but avoids computing the eigenvalues directly.
harrisLaplace(int, float, int, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a FeatureLaplacePyramid which is uses the Harris corner detector.
harrisPyramid(int, float, int, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a FeaturePyramid which is uses the Harris corner detector.
hasCandidates() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: If true there is a list of candidate corners for minimums and/or maximums.
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
hasCandidates() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
hasOrientation() - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
hasOrientation() - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
hasOrientation() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
hasOrientation() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
hasOrientation() - Method in interface boofcv.abst.feature.detect.interest.InterestPointDetector: Deprecated.
Likely to be removed since this flag has no use in actual algorithms to date.
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
hasOrientation() - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
hasScale() - Method in class boofcv.abst.feature.detdesc.DetectDescribeFusion
hasScale() - Method in class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
hasScale() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
hasScale() - Method in class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
hasScale() - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
hasScale() - Method in interface boofcv.abst.feature.detect.interest.InterestPointDetector: Deprecated.
Likely to be removed since this flag has no use in actual algorithms to date.
hasScale() - Method in class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride
hasScale() - Method in class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
hasScale() - Method in class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
hasScale() - Method in class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
hasScale() - Method in class boofcv.abst.feature.detect.interest.WrapSiftDetector
height - Variable in class boofcv.struct.feature.MatrixOfList
height - Variable in class boofcv.struct.flow.ImageFlow
helper - Variable in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
hessian(T, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.GIntegralImageFeatureIntensity: Computes an approximation to the Hessian's determinant.
hessian(ImageFloat32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.IntegralImageFeatureIntensity: Computes an approximation to the Hessian's determinant.
hessian(ImageSInt32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.IntegralImageFeatureIntensity: Computes an approximation to the Hessian's determinant.
hessian - Variable in class boofcv.alg.feature.detect.interest.EasyGeneralFeatureDetector
hessian(HessianBlobIntensity.Type, Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Blob detector which uses the image's second order derivatives directly.
HessianBlobIntensity - Class in boofcv.alg.feature.detect.intensity: Detects "blob" intensity using the image's second derivative.
HessianBlobIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.HessianBlobIntensity
HessianBlobIntensity.Type - Enum in boofcv.alg.feature.detect.intensity: Different types of Hessian blob detectors
hessianBorder(ImageFloat32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Only computes the fast hessian along the border using a brute force approach
hessianBorder(ImageSInt32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Only computes the fast hessian along the border using a brute force approach
hessianInner(ImageFloat32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Optimizes intensity for the inner image.
hessianInner(ImageSInt32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Optimizes intensity for the inner image.
hessianLaplace(int, float, int, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a FeatureLaplacePyramid which is uses a hessian blob detector.
hessianNaive(ImageFloat32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Brute force approach which is easy to validate through visual inspection.
hessianNaive(ImageSInt32, int, int, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity: Brute force approach which is easy to validate through visual inspection.
hessianPyramid(int, float, int, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a FeaturePyramid which is uses a hessian blob detector.
histogram - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
histogram(int, int, boolean, Class<T>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs
histogram_RGB_to_HS_U8(MultiSpectral<ImageUInt8>, int, int, int, int, float, float[], FHistogramNormalized) - Method in class boofcv.alg.feature.color.FHistogramOps
histogram_U8(ImageUInt8, int, int, int, int, int, FHistogramNormalized) - Method in class boofcv.alg.feature.color.FHistogramOps
histogram_U8(MultiSpectral<ImageUInt8>, int, int, int, int, int, FHistogramNormalized) - Method in class boofcv.alg.feature.color.FHistogramOps
histogramSize - Variable in class boofcv.abst.feature.orientation.ConfigSiftOrientation: Number of elements in the histogram.
history - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
history - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray
horizontal() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32: Compute the derivative sum along the x-axis while taking advantage of duplicate calculations for each window.
horizontal() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16: Compute the derivative sum along the x-axis while taking advantage of duplicate calculations for each window.
horizontal() - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
horizXX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
horizXY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
horizYY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
HornSchunck<T extends boofcv.struct.image.ImageBase,D extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.flow: This is Horn-Schunck's well known work [1] for dense optical flow estimation.
HornSchunck(float, int, ImageType<D>) - Constructor for class boofcv.alg.flow.HornSchunck: Constructor
hornSchunck(ConfigHornSchunck, Class<T>) - Static method in class boofcv.factory.flow.FactoryDenseOpticalFlow: The original Horn-Schunck algorithm.
HornSchunck_F32 - Class in boofcv.alg.flow: Implementation of HornSchunck for ImageFloat32.
HornSchunck_F32(float, int) - Constructor for class boofcv.alg.flow.HornSchunck_F32
HornSchunck_to_DenseOpticalFlow<T extends boofcv.struct.image.ImageBase,D extends boofcv.struct.image.ImageBase> - Class in boofcv.abst.flow: Implementation of DenseOpticalFlow for HornSchunck.
HornSchunck_to_DenseOpticalFlow(HornSchunck<T, D>, ImageType<T>) - Constructor for class boofcv.abst.flow.HornSchunck_to_DenseOpticalFlow
HornSchunck_U8 - Class in boofcv.alg.flow: Implementation of HornSchunck for ImageFloat32.
HornSchunck_U8(float, int) - Constructor for class boofcv.alg.flow.HornSchunck_U8
HornSchunckPyramid<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.flow: Pyramidal implementation of Horn-Schunck based on the discussion in [1].
HornSchunckPyramid(ConfigHornSchunckPyramid, InterpolatePixelS<ImageFloat32>) - Constructor for class boofcv.alg.flow.HornSchunckPyramid: Configures flow estimation
hornSchunckPyramid(ConfigHornSchunckPyramid, Class<T>) - Static method in class boofcv.factory.flow.FactoryDenseOpticalFlow: Creates an instance of HornSchunckPyramid
HornSchunckPyramid_to_DenseOpticalFlow<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.flow: Implementation of DenseOpticalFlow for HornSchunck.
HornSchunckPyramid_to_DenseOpticalFlow(HornSchunckPyramid<T>, Class<T>) - Constructor for class boofcv.abst.flow.HornSchunckPyramid_to_DenseOpticalFlow
houghFoot(ConfigHoughFoot, Class, Class<D>) - Static method in class boofcv.factory.feature.detect.line.FactoryDetectLineAlgs: Detects lines using the foot of norm parametrization, see DetectLineHoughFoot.
houghFootSub(ConfigHoughFootSubimage, Class, Class<D>) - Static method in class boofcv.factory.feature.detect.line.FactoryDetectLineAlgs: Detects lines using a foot of norm parametrization and sub images to reduce degenerate configurations, see DetectLineHoughFootSubimage for details.
houghPolar(ConfigHoughPolar, Class, Class<D>) - Static method in class boofcv.factory.feature.detect.line.FactoryDetectLineAlgs: Creates a Hough line detector based on polar parametrization.
HoughTransformLineFootOfNorm - Class in boofcv.alg.feature.detect.line: Hough transform based line detector.
HoughTransformLineFootOfNorm(NonMaxSuppression, int) - Constructor for class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Specifies parameters of transform.
HoughTransformLinePolar - Class in boofcv.alg.feature.detect.line: Hough transform which uses a polar line representation.
HoughTransformLinePolar(NonMaxSuppression, int, int) - Constructor for class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Specifies parameters of transform.
HysteresisEdgeTraceMark - Class in boofcv.alg.feature.detect.edge: Given the output from edge non-maximum suppression, perform hysteresis threshold along the edge and mark selected pixels in a binary image.
HysteresisEdgeTraceMark() - Constructor for class boofcv.alg.feature.detect.edge.HysteresisEdgeTraceMark
HysteresisEdgeTracePoints - Class in boofcv.alg.feature.detect.edge: Given the output from edge non-maximum suppression, perform hysteresis threshold along the edge and constructs a list of pixels belonging to each contour.
HysteresisEdgeTracePoints() - Constructor for class boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints
hysteresisMark - Variable in class boofcv.alg.feature.detect.edge.CannyEdge
hysteresisPts - Variable in class boofcv.alg.feature.detect.edge.CannyEdge

I

id - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
ignoreBorder - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: Size of border around the image in which pixels are not considered.
ii - Variable in class boofcv.alg.feature.describe.DescribePointSurf
ii - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
image - Variable in class boofcv.alg.feature.describe.DescribePointBinaryCompare
image - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
image - Variable in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
image - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
image - Variable in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
image - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
image - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
image - Variable in class boofcv.alg.tracker.klt.KltTracker
image - Variable in class boofcv.alg.tracker.klt.PyramidKltTracker
image_ii(int, double, int, double, Class<II>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs: Estimates the orientation without calculating the image derivative.
imageDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
imageDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
ImageFlow - Class in boofcv.struct.flow: The dense optical flow of an image.
ImageFlow(int, int) - Constructor for class boofcv.struct.flow.ImageFlow
ImageFlow.D - Class in boofcv.struct.flow: Specifies the optical flow for a single pixel.
ImageFlow.D() - Constructor for class boofcv.struct.flow.ImageFlow.D
imageIndexToPixelScale(int) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Image pixel scale factor for the specific image in the pyramid.
ImageLinePruneMerge - Class in boofcv.alg.feature.detect.line
ImageLinePruneMerge() - Constructor for class boofcv.alg.feature.detect.line.ImageLinePruneMerge
imageNormalization(T, T, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.flow.DenseFlowPyramidBase: Function to normalize the images between 0 and 255.
ImageSegmentationOps - Class in boofcv.alg.segmentation: Useful functions related to image segmentation
ImageSegmentationOps() - Constructor for class boofcv.alg.segmentation.ImageSegmentationOps
ImageSuperpixels<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.abst.segmentation: High level interface for computing superpixels.
imageType - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
imageWidth - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
ImplDescribeBinaryCompare_F32 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointBinaryCompare for a specific image type.
ImplDescribeBinaryCompare_F32(BinaryCompareDefinition_I32) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_F32
ImplDescribeBinaryCompare_U8 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointBinaryCompare for a specific image type.
ImplDescribeBinaryCompare_U8(BinaryCompareDefinition_I32) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_U8
ImplDescribePointPixelRegion_F32 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointPixelRegion.
ImplDescribePointPixelRegion_F32(int, int) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_F32
ImplDescribePointPixelRegion_U8 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointPixelRegion.
ImplDescribePointPixelRegion_U8(int, int) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_U8
ImplDescribePointPixelRegionNCC_F32 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointPixelRegionNCC.
ImplDescribePointPixelRegionNCC_F32(int, int) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegionNCC_F32
ImplDescribePointPixelRegionNCC_U8 - Class in boofcv.alg.feature.describe.impl: Implementation of DescribePointPixelRegionNCC.
ImplDescribePointPixelRegionNCC_U8(int, int) - Constructor for class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegionNCC_U8
ImplDisparityScoreSadRect_F32<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreSadRect for processing input images of type ImageFloat32.
ImplDisparityScoreSadRect_F32(int, int, int, int, DisparitySelect<float[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_F32
ImplDisparityScoreSadRect_S16<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreSadRect for processing input images of type ImageSInt16.
ImplDisparityScoreSadRect_S16(int, int, int, int, DisparitySelect<int[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_S16
ImplDisparityScoreSadRect_U8<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreSadRect for processing input images of type ImageUInt8.
ImplDisparityScoreSadRect_U8(int, int, int, int, DisparitySelect<int[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_U8
ImplDisparityScoreSadRectFive_F32<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreWindowFive for processing images of type ImageFloat32.
ImplDisparityScoreSadRectFive_F32(int, int, int, int, DisparitySelect<float[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_F32
ImplDisparityScoreSadRectFive_S16<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreWindowFive for processing images of type ImageSInt16.
ImplDisparityScoreSadRectFive_S16(int, int, int, int, DisparitySelect<int[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_S16
ImplDisparityScoreSadRectFive_U8<Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparityScoreWindowFive for processing images of type ImageUInt8.
ImplDisparityScoreSadRectFive_U8(int, int, int, int, DisparitySelect<int[], Disparity>) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_U8
ImplDisparitySparseScoreSadRect_F32 - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparitySparseScoreSadRect that processes images of type ImageFloat32.
ImplDisparitySparseScoreSadRect_F32(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_F32
ImplDisparitySparseScoreSadRect_S16 - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparitySparseScoreSadRect that processes images of type ImageSInt16.
ImplDisparitySparseScoreSadRect_S16(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_S16
ImplDisparitySparseScoreSadRect_U8 - Class in boofcv.alg.feature.disparity.impl: Implementation of DisparitySparseScoreSadRect that processes images of type ImageUInt8.
ImplDisparitySparseScoreSadRect_U8(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_U8
ImplEdgeNonMaxSuppression - Class in boofcv.alg.feature.detect.edge.impl: Algorithms for performing non-max suppression.
ImplEdgeNonMaxSuppression() - Constructor for class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression
ImplEdgeNonMaxSuppressionCrude - Class in boofcv.alg.feature.detect.edge.impl: Implementations of the crude version of non-maximum edge suppression.
ImplEdgeNonMaxSuppressionCrude() - Constructor for class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude
ImplFastHelper_F32 - Class in boofcv.alg.feature.detect.intensity.impl
ImplFastHelper_F32(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
ImplFastHelper_U8 - Class in boofcv.alg.feature.detect.intensity.impl
ImplFastHelper_U8(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
ImplFastIntensity10<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Contains logic for detecting fast corners.
ImplFastIntensity10(FastHelper<T>) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity10
ImplFastIntensity11<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Contains logic for detecting fast corners.
ImplFastIntensity11(FastHelper<T>) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity11
ImplFastIntensity12<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Contains logic for detecting fast corners.
ImplFastIntensity12(FastHelper<T>) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity12
ImplFastIntensity9<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Contains logic for detecting fast corners.
ImplFastIntensity9(FastHelper<T>) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplFastIntensity9
ImplGradientToEdgeFeatures - Class in boofcv.alg.feature.detect.edge.impl: Implementations of the core algorithms of GradientToEdgeFeatures.
ImplGradientToEdgeFeatures() - Constructor for class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
ImplGridRansacLineDetector_F32 - Class in boofcv.alg.feature.detect.line.gridline: Implementation of GridRansacLineDetector for ImageFloat32
ImplGridRansacLineDetector_F32(int, int, ModelMatcher<LinePolar2D_F32, Edgel>) - Constructor for class boofcv.alg.feature.detect.line.gridline.ImplGridRansacLineDetector_F32
ImplGridRansacLineDetector_S16 - Class in boofcv.alg.feature.detect.line.gridline: Implementation of GridRansacLineDetector for ImageSInt16
ImplGridRansacLineDetector_S16(int, int, ModelMatcher<LinePolar2D_F32, Edgel>) - Constructor for class boofcv.alg.feature.detect.line.gridline.ImplGridRansacLineDetector_S16
ImplHarrisCorner_F32 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of HarrisCornerIntensity based off of ImplSsdCorner_F32.
ImplHarrisCorner_F32(int, float) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_F32
ImplHarrisCorner_S16 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of HarrisCornerIntensity based off of ImplSsdCorner_S16.
ImplHarrisCorner_S16(int, float) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_S16
ImplHarrisCornerWeighted_F32 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of HarrisCornerIntensity that samples pixels using a Gaussian distribution and is based off of ImplSsdCornerWeighted_F32.
ImplHarrisCornerWeighted_F32(int, float) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_F32
ImplHarrisCornerWeighted_S16 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of HarrisCornerIntensity that samples pixels using a Gaussian distribution and is based off of ImplSsdCornerWeighted_F32.
ImplHarrisCornerWeighted_S16(int, float) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_S16
ImplHessianBlobIntensity - Class in boofcv.alg.feature.detect.intensity.impl: Implementations of HessianBlobIntensity.
ImplHessianBlobIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity
ImplIntegralImageFeatureIntensity - Class in boofcv.alg.feature.detect.intensity.impl: Routines for computing the intensity of the fast hessian features in an image.
ImplIntegralImageFeatureIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplIntegralImageFeatureIntensity
ImplKitRosCornerIntensity - Class in boofcv.alg.feature.detect.intensity.impl: Implementations of KitRosCornerIntensity.
ImplKitRosCornerIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplKitRosCornerIntensity
ImplMedianCornerIntensity - Class in boofcv.alg.feature.detect.intensity.impl: Implementations of MedianCornerIntensity.
ImplMedianCornerIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplMedianCornerIntensity
ImplOrientationAverage_F32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationAverage for a specific image type.
ImplOrientationAverage_F32(boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_F32
ImplOrientationAverage_S16 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationAverage for a specific image type.
ImplOrientationAverage_S16(boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S16
ImplOrientationAverage_S32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationAverage for a specific image type.
ImplOrientationAverage_S32(boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationAverage_S32
ImplOrientationAverageGradientIntegral<T extends boofcv.struct.image.ImageSingleBand,G extends boofcv.struct.sparse.GradientValue> - Class in boofcv.alg.feature.orientation.impl: Estimates the orientation of a region by computing the image derivative from an integral image.
ImplOrientationAverageGradientIntegral(int, double, int, double, Class<T>) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationAverageGradientIntegral
ImplOrientationHistogram_F32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationHistogram for a specific image type.
ImplOrientationHistogram_F32(int, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_F32
ImplOrientationHistogram_S16 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationHistogram for a specific image type.
ImplOrientationHistogram_S16(int, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S16
ImplOrientationHistogram_S32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationHistogram for a specific image type.
ImplOrientationHistogram_S32(int, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationHistogram_S32
ImplOrientationImageAverage_F32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationImageAverage for a specific image type.
ImplOrientationImageAverage_F32(int) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_F32
ImplOrientationImageAverage_U8 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationImageAverage for a specific image type.
ImplOrientationImageAverage_U8(int) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverage_U8
ImplOrientationImageAverageIntegral<T extends boofcv.struct.image.ImageSingleBand,G extends boofcv.struct.sparse.GradientValue> - Class in boofcv.alg.feature.orientation.impl: Estimates the orientation of a region using a "derivative free" method.
ImplOrientationImageAverageIntegral(int, double, int, double, Class<T>) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
ImplOrientationSlidingWindow_F32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationSlidingWindow for a specific image type.
ImplOrientationSlidingWindow_F32(int, double, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_F32
ImplOrientationSlidingWindow_S16 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationSlidingWindow for a specific image type.
ImplOrientationSlidingWindow_S16(int, double, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S16
ImplOrientationSlidingWindow_S32 - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationSlidingWindow for a specific image type.
ImplOrientationSlidingWindow_S32(int, double, boolean) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindow_S32
ImplOrientationSlidingWindowIntegral<T extends boofcv.struct.image.ImageSingleBand,G extends boofcv.struct.sparse.GradientValue> - Class in boofcv.alg.feature.orientation.impl: Implementation of OrientationSlidingWindow for integral images.
ImplOrientationSlidingWindowIntegral(double, double, int, double, int, Class<T>) - Constructor for class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindowIntegral: Specifies configuration parameters and initializes data structures
ImplSelectRectBasicWta_F32_U8 - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectRectBasicWta for scores of type F32.
ImplSelectRectBasicWta_F32_U8() - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_F32_U8
ImplSelectRectBasicWta_S32_U8 - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectRectBasicWta for scores of type S32.
ImplSelectRectBasicWta_S32_U8() - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_S32_U8
ImplSelectRectStandard_F32_U8 - Class in boofcv.alg.feature.disparity.impl: Implementation of ImplSelectRectStandardBase_F32 for ImageUInt8.
ImplSelectRectStandard_F32_U8(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_F32_U8
ImplSelectRectStandard_S32_U8 - Class in boofcv.alg.feature.disparity.impl: Implementation of ImplSelectRectStandardBase_S32 for ImageUInt8.
ImplSelectRectStandard_S32_U8(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_S32_U8
ImplSelectRectStandardBase_F32<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectRectStandard as a base class for arrays of type F32.
ImplSelectRectStandardBase_F32(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_F32
ImplSelectRectStandardBase_S32<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectRectStandard as a base class for arrays of type S32.
ImplSelectRectStandardBase_S32(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
ImplSelectSparseBasicWta_F32 - Class in boofcv.alg.feature.disparity.impl: Selects the disparity with the lowest score with no additional validation.
ImplSelectSparseBasicWta_F32() - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_F32
ImplSelectSparseBasicWta_S32 - Class in boofcv.alg.feature.disparity.impl: Selects the disparity with the lowest score with no additional validation.
ImplSelectSparseBasicWta_S32() - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_S32
ImplSelectSparseStandardWta_F32 - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectSparseStandardWta for score arrays of type F32.
ImplSelectSparseStandardWta_F32(int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_F32
ImplSelectSparseStandardWta_S32 - Class in boofcv.alg.feature.disparity.impl: Implementation of SelectSparseStandardWta for score arrays of type S32.
ImplSelectSparseStandardWta_S32(int, double) - Constructor for class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32
ImplShiTomasiCorner_F32 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ShiTomasiCornerIntensity based off of ImplSsdCorner_F32.
ImplShiTomasiCorner_F32(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCorner_F32
ImplShiTomasiCorner_S16 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ShiTomasiCornerIntensity based off of ImplSsdCornerNaive.
ImplShiTomasiCorner_S16(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCorner_S16
ImplShiTomasiCornerWeighted_F32 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ShiTomasiCornerIntensity that samples pixels using a Gaussian distribution based off of ImplSsdCornerWeighted_F32.
ImplShiTomasiCornerWeighted_F32(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCornerWeighted_F32
ImplShiTomasiCornerWeighted_S16 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ShiTomasiCornerIntensity that samples pixels using a Gaussian distribution based off of ImplSsdCornerWeighted_F32.
ImplShiTomasiCornerWeighted_S16(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplShiTomasiCornerWeighted_S16
ImplSsdCorner_F32 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ImplSsdCornerBase for ImageFloat32.
ImplSsdCorner_F32(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32
ImplSsdCorner_S16 - Class in boofcv.alg.feature.detect.intensity.impl: Implementation of ImplSsdCornerBase for ImageSInt16.
ImplSsdCorner_S16(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16
ImplSsdCornerBase<D extends boofcv.struct.image.ImageSingleBand,D2 extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Several corner detector algorithms work by computing a symmetric matrix whose elements are composed of the convolution of the image's gradient squared.
ImplSsdCornerBase(int, Class<D2>) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
ImplSsdCornerNaive<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.intensity.impl: Naive implementation of ShiTomasiCornerIntensity which performs computations in a straight forward but inefficient manor.
ImplSsdCornerNaive(int, int, int, boolean) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerNaive
ImplSsdCornerWeighted_F32 - Class in boofcv.alg.feature.detect.intensity.impl
ImplSsdCornerWeighted_F32(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
ImplSsdCornerWeighted_S16 - Class in boofcv.alg.feature.detect.intensity.impl
ImplSsdCornerWeighted_S16(int) - Constructor for class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
ImplSurfDescribeOps - Class in boofcv.alg.feature.describe.impl: Design Note: When estimating the
ImplSurfDescribeOps() - Constructor for class boofcv.alg.feature.describe.impl.ImplSurfDescribeOps
index - Variable in class boofcv.alg.feature.associate.AssociateSurfBasic.Helper
index - Variable in class boofcv.alg.feature.detect.edge.EdgeSegment: index of this segment in the list.
indexA - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge
indexB - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge
indexToPointIndex(List<Point2D_I32>, GrowQueue_I32, FastQueue<PointIndex_I32>) - Static method in class boofcv.alg.feature.shapes.ShapeFittingOps: Converts the list of indexes in a sequence into a list of PointIndex_I32.
init(int, int) - Method in class boofcv.abst.feature.detect.intensity.BaseGeneralFeatureIntensity
init(int) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
INIT - Static variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
initalize(T) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: prepares all data structures
initFlowX - Variable in class boofcv.alg.flow.HornSchunckPyramid
initFlowY - Variable in class boofcv.alg.flow.HornSchunckPyramid
initialize(T, ImageSInt32) - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Predeclares all memory required and sets data structures to their initial values
initializeClusters() - Method in class boofcv.alg.segmentation.slic.SegmentSlic: initialize all the clusters at regularly spaced intervals.
initializeMerge(int) - Method in class boofcv.alg.segmentation.ms.RegionMergeTree: Must call before any other functions.
initialSampleSize - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: How often pixels are sampled in the first octave.
initialSize - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Typically 9.
inner4(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Only processes the inner image.
inner4(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude: Only processes the inner image.
inner4(ImageFloat32, ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude: Only processes the inner image.
inner4(ImageFloat32, ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppressionCrude: Only processes the inner image.
inner8(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Only processes the inner image.
innerAverageFlow(ImageFlow, ImageFlow) - Static method in class boofcv.alg.flow.HornSchunck: Computes average flow using an 8-connect neighborhood for the inner image
input - Variable in class boofcv.alg.feature.detect.extract.NonMaxCandidate
input - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
IntegralImageFeatureIntensity - Class in boofcv.alg.feature.detect.intensity: Routines for computing the intensity of the fast hessian features in an image.
IntegralImageFeatureIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.IntegralImageFeatureIntensity
intensities - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
intensity - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
intensityAbs(D, D, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityAbs(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityAbs(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityAbs(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityAbs(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
intensityAbs(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
intensityAbs(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
intensityE(D, D, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityE(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityE(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityE(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Computes the edge intensity using a Euclidean norm.
intensityE(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
intensityE(ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
intensityE(ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplGradientToEdgeFeatures
InterestPointDetector<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.abst.feature.detect.interest: Interface for automatic interest point detection in an image.
InterestPointDetectorOverride<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Provides the capability to tack on a different algorithm for the feature's location, scale, and orientation.
InterestPointDetectorOverride(InterestPointDetector<T>, OrientationImage<T>) - Constructor for class boofcv.abst.feature.detect.interest.InterestPointDetectorOverride: Specifies which algorithms are to be used.
InterestPointScaleSpace<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.detect.interest: Interest point detector for Scale Space images.
InterestPointScaleSpacePyramid<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.detect.interest: Interest point detector for Scale-Space Pyramid images.
internalSetDescription(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker
internalSetDescriptionBorder(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker: Computes the descriptor for border features.
interp - Variable in class boofcv.alg.feature.describe.DescribePointBriefSO
interp - Variable in class boofcv.alg.flow.DenseFlowPyramidBase
interpDeriv - Variable in class boofcv.alg.tracker.klt.KltTracker
interpInput - Variable in class boofcv.alg.tracker.klt.KltTracker
interpolate - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
interpolate - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
interpolate - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray
interpolate(double) - Method in class boofcv.numerics.InterpolateArray
InterpolateArray - Class in boofcv.numerics: Do linear interpolation between points in an array.
InterpolateArray(double[]) - Constructor for class boofcv.numerics.InterpolateArray
interpolateFlowScale(int, int) - Method in class boofcv.alg.flow.BroxWarpingSpacial: Provides an initial estimate for the flow by interpolating values from the previous layer.
interpolateFlowScale(ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.DenseFlowPyramidBase: Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.
interpolateFlowScale(int, int) - Method in class boofcv.alg.flow.HornSchunckPyramid: Provides an initial estimate for the flow by interpolating values from the previous layer.
interpolateFlowScale(ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunckPyramid: Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.
interpolation - Variable in class boofcv.alg.flow.ConfigBroxWarping: Type of interpolation used.
interpolation - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Type of interpolation used.
invalidateAll() - Method in class boofcv.struct.flow.ImageFlow: Marks all pixels as having an invalid flow
invalidDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
isBackwardsValidation() - Method in class boofcv.alg.feature.associate.AssociateGreedy
isBitTrue(int) - Method in class boofcv.struct.feature.TupleDesc_B
isBorderProcessed() - Method in class boofcv.alg.feature.detect.template.TemplateDiffSquared
isBorderProcessed() - Method in interface boofcv.alg.feature.detect.template.TemplateMatchingIntensity: Does this algorithm process the image's border.
isBorderProcessed() - Method in class boofcv.alg.feature.detect.template.TemplateNCC
isConnected(int) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
isDescriptionComplete(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker: Checks to see if the feature description is complete or if it was created by a feature partially outside the image
isDetectMaximums() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: true if it will detector local maximums
isDetectMinimums() - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: true if it will detector local minimums
isFullyInside(float, float) - Method in class boofcv.alg.tracker.klt.KltTracker: Returns true if the features is entirely enclosed inside of the image.
isFullyOutside(float, float) - Method in class boofcv.alg.tracker.klt.KltTracker: Returns true if the features is entirely outside of the image.
isInBounds(int, int) - Method in class boofcv.alg.feature.describe.DescribePointPixelRegionNCC: The entire region must be inside the image because any outside pixels will change the statistics
isInBounds(int, int) - Method in class boofcv.struct.feature.MatrixOfList
isInBounds(int, int) - Method in class boofcv.struct.flow.ImageFlow
isInside(T, double, double, int, int, double, double, double) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Checks to see if the region is contained inside the image.
isInside(int, int, double, double, double, double) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Tests to see if the rectangular region being sampled is contained inside the image.
isStrict() - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
isValid() - Method in class boofcv.struct.flow.ImageFlow.D
isWeighted - Variable in class boofcv.alg.feature.orientation.OrientationAverage
isWeighted - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
isWeighted - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
isWhite() - Method in class boofcv.struct.feature.ScalePoint
isZeroBest() - Method in class boofcv.struct.feature.MatchScoreType: True if the best possible score has a value of zero

K

K - Variable in class boofcv.factory.segmentation.ConfigFh04: Tuning parameter.
kdRandomForest(int, int, int, int, long) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Approximate association using multiple random K-D trees (random forest) for descriptors with a high degree of freedom, e.g.
kdtree(int, int) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Approximate association using a K-D tree degree of moderate size (10-15) that uses a best-bin-first search order.
kerCosine - Variable in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
kerCosine - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
kerSine - Variable in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
kerSine - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
kerXX - Variable in class boofcv.alg.feature.describe.DescribePointSurf
kerYY - Variable in class boofcv.alg.feature.describe.DescribePointSurf
kitros(Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Feature intensity for Kitchen and Rosenfeld corner detector.
KitRosCornerIntensity - Class in boofcv.alg.feature.detect.intensity: Implementation of the Kitchen and Rosenfeld corner detector as described in [1].
KitRosCornerIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.KitRosCornerIntensity
klt(KltConfig, Class, Class<D>) - Static method in class boofcv.factory.tracker.FactoryTrackerAlg: Creates a KltTracker.
KltConfig - Class in boofcv.alg.tracker.klt
KltConfig() - Constructor for class boofcv.alg.tracker.klt.KltConfig
KltFeature - Class in boofcv.alg.tracker.klt: Contains feature information for KltTracker.
KltFeature(int) - Constructor for class boofcv.alg.tracker.klt.KltFeature
KltFeatureSelector<InputImage extends boofcv.struct.image.ImageSingleBand,DerivativeImage extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.tracker.klt: Automatically selects KLT features and creates descriptions of them.
kltPyramid(KltConfig, Class, Class<D>) - Static method in class boofcv.factory.tracker.FactoryTrackerAlg: Creates a PyramidKltTracker.
KltTracker<InputImage extends boofcv.struct.image.ImageSingleBand,DerivativeImage extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.tracker.klt: A Kanade-Lucas-Tomasi (KLT) [1,2,3,4] point feature tracker for a single layer gray scale image.
KltTracker(InterpolateRectangle<InputImage>, InterpolateRectangle<DerivativeImage>, KltConfig) - Constructor for class boofcv.alg.tracker.klt.KltTracker
KltTrackFault - Enum in boofcv.alg.tracker.klt
knownDesc - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint

L

laplacian() - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Blob detector which uses a 3x3 kernel to approximate the second order derivatives and compute a Laplacian blob.
laplacianPositive - Variable in class boofcv.struct.feature.SurfFeature
layerSigma - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
left - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
lengthFeature - Variable in class boofcv.alg.tracker.klt.KltTracker
lengthHorizontal - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
line - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
LineImageOps - Class in boofcv.alg.feature.detect.line
LineImageOps() - Constructor for class boofcv.alg.feature.detect.line.LineImageOps
lineRansac(int, double, double, boolean, Class, Class<D>) - Static method in class boofcv.factory.feature.detect.line.FactoryDetectLineAlgs: Detects line segments inside an image using the DetectLineSegmentsGridRansac algorithm.
localMax - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
localMax - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
localMaxDisparity - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
localMaximums() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Indicates if local maximums are features or not.
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
localMaximums() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
localMaxRadius - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Lines in transform space must be a local max in a region with this radius.
localMaxRadius - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Radius for local maximum suppression.
localMin - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
localMinimums() - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Indicates if local minimums are features or not.
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
localMinimums() - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
location - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
lookup(short, short) - Method in class boofcv.alg.feature.associate.HammingTable16: Looks up the hamming distance from a table

M

MARK_TRAVERSED - Static variable in class boofcv.alg.feature.detect.edge.HysteresisEdgeTraceMark
MARK_TRAVERSED - Static variable in class boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints
MARKER_PIXEL - Static variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
markInvalid() - Method in class boofcv.struct.flow.ImageFlow.D
markMerge(int, int) - Method in class boofcv.alg.segmentation.ms.RegionMergeTree: This function will mark two regions for merger.
markMergeRegions(FastQueue<float[]>, FastQueue<Point2D_I32>, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.MergeRegionMeanShift: Takes the mode of a region and searches the local area around it for other regions.
markRegionBorders(ImageSInt32, ImageUInt8) - Static method in class boofcv.alg.segmentation.ImageSegmentationOps: Indicates border pixels between two regions.
MASK - Static variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
Match - Class in boofcv.struct.feature: Found match during template matching.
Match(int, int, double) - Constructor for class boofcv.struct.feature.Match
Match() - Constructor for class boofcv.struct.feature.Match
MatchScoreType - Class in boofcv.struct.feature: Specifies the meaning of a match score.
MatchScoreType() - Constructor for class boofcv.struct.feature.MatchScoreType
MatrixOfList<T> - Class in boofcv.struct.feature: A matrix of Lists for containing items in a grid.
MatrixOfList(int, int) - Constructor for class boofcv.struct.feature.MatrixOfList
maxColorDistanceSq - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
maxDetectLines - Variable in class boofcv.alg.feature.detect.line.GridRansacLineDetector
maxDisparity - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
maxDisparity - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
maxDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
maxDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
maxDisparityAtColumnL2R(int) - Method in class boofcv.alg.feature.disparity.SelectRectBasicWta: Returns the maximum allowed disparity for a particular column in left to right direction, as limited by the image border.
maxDisparityAtColumnL2R(int) - Method in class boofcv.alg.feature.disparity.SelectRectStandard: Returns the maximum allowed disparity for a particular column in left to right direction, as limited by the image border.
maxDistance - Variable in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
maxDistanceNotSquared - Variable in class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
maxError - Variable in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
maxError - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
maxError - Variable in class boofcv.alg.feature.disparity.SelectSparseStandardWta
maxError - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
maxFeatures - Variable in class boofcv.abst.feature.detect.interest.ConfigGeneralDetector: Specifies the maximum number of features it will detect.
maxFeatures - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
maxFeaturesPerScale - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Number of features it will find or if <= 0 it will return all features it finds.
maxFeaturesPerScale - Variable in class boofcv.abst.feature.detect.interest.ConfigSiftDetector: Max detected features per scale.
maximums - Variable in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
maximums - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
maxInnerIterations - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Maximum number of iterations in the inner loop.
maxIterations - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
maxIterations - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
maxIterations - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
maxIterations - Variable in class boofcv.alg.tracker.klt.KltConfig: Maximum number of iterations KLT performs for each feature
maxIterationsSor - Variable in class boofcv.alg.flow.ConfigBroxWarping: Maximum allowed iterations for SOR
maxLines - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Maximum number of lines to return.
maxLines - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Maximum number of lines to return.
maxPerPixelError - Variable in class boofcv.alg.tracker.klt.KltConfig: Maximum allowed average per pixel error across the whole region.
maxPerPixelError - Variable in class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid: Maximum error allowed per pixel.
maxPyramidLayers - Variable in class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid: The maximum number of layers in the pyramid
mean - Variable in class boofcv.struct.feature.NccFeature: Mean pixel intensity Can be used to reconstruct the original values of the template.
meanColor - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
meanColor(float[], float[], float) - Static method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
meanGray - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray
meanShift(ConfigSegmentMeanShift, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactoryImageSegmentation
meanShift(ConfigSegmentMeanShift, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg: Creates an instance of SegmentMeanShift.
MeanShift_to_ImageSuperpixels<T extends boofcv.struct.image.ImageBase> - Class in boofcv.abst.segmentation
MeanShift_to_ImageSuperpixels(SegmentMeanShift<T>, ConnectRule) - Constructor for class boofcv.abst.segmentation.MeanShift_to_ImageSuperpixels
meanShiftGaussian(int, float, Class<T>) - Static method in class boofcv.factory.feature.detect.peak.FactorySearchLocalPeak: Mean-shift based search with a Gaussian kernel
MeanShiftPeak<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.detect.peak: Simple implementations of mean-shift intended to finding local peaks inside an intensity image.
MeanShiftPeak(int, float, WeightPixel_F32, Class<T>) - Constructor for class boofcv.alg.feature.detect.peak.MeanShiftPeak: Configures search.
MeanShiftPeak_to_SearchLocalPeak<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.peak: Wrapper around MeanShiftPeak for SearchLocalPeak
MeanShiftPeak_to_SearchLocalPeak(MeanShiftPeak<T>) - Constructor for class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
meanShiftUniform(int, float, Class<T>) - Static method in class boofcv.factory.feature.detect.peak.FactorySearchLocalPeak: Mean-shift based search with a uniform kernel
median(int, Class) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Feature intensity for median corner detector.
MedianCornerIntensity - Class in boofcv.alg.feature.detect.intensity: Corner detector based on median filter.
MedianCornerIntensity() - Constructor for class boofcv.alg.feature.detect.intensity.MedianCornerIntensity
mergeList - Variable in class boofcv.alg.segmentation.ms.RegionMergeTree
MergeRegionMeanShift - Class in boofcv.alg.segmentation.ms: Merges together regions which have modes close to each other and have a similar color.
MergeRegionMeanShift(int, float) - Constructor for class boofcv.alg.segmentation.ms.MergeRegionMeanShift: Configures MergeRegionMeanShift
mergeRegions() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Follows the merge procedure output in [1].
mergeSegments() - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Merges lines together which have an acute angle less than the threshold.
mergeSegments() - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitSegment: Merges lines together which have an acute angle less than the threshold.
mergeSimilar(List<LineSegment2D_F32>, float, float) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
mergeSmallRegions() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Look at the remaining regions and if there are any small ones marge them into a larger region
MergeSmallRegions<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation.ms: Finds regions which are too small and merges them with a neighbor that is the most similar to it and connected.
MergeSmallRegions(int, ConnectRule, ComputeRegionMeanColor<T>) - Constructor for class boofcv.alg.segmentation.ms.MergeSmallRegions: Constructor
MergeSmallRegions.Node - Class in boofcv.alg.segmentation.ms: Node in a graph.
MergeSmallRegions.Node() - Constructor for class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
minContinuous - Variable in class boofcv.abst.feature.detect.interest.ConfigFast: Minimum number of pixels around the circle that are required to be a corner.
minCounts - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Minimum number of counts/votes inside the transformed image.
minCounts - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Minimum number of counts for detected line.
minDeterminant - Variable in class boofcv.alg.tracker.klt.KltConfig: Declare a feature as invalid if hte detemrinant is less than this value.
minDisparity - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
minDisparity - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
minDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
minDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
minDistanceFromOrigin - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Lines which are this close to the origin of the transformed image are ignored.
minimumRegionSize - Variable in class boofcv.factory.segmentation.ConfigFh04: Minimum allowed size of a region.
minimumRegionSize - Variable in class boofcv.factory.segmentation.ConfigSegmentMeanShift: Minimum allowed size of a region in pixels.
minimumRegionSize - Variable in class boofcv.factory.segmentation.ConfigWatershed: Regions which are smaller than this are merged into a neighbor.
minimumSize - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
minInlierSize - Variable in class boofcv.alg.feature.detect.line.GridRansacLineDetector
minPositionDelta - Variable in class boofcv.alg.tracker.klt.KltConfig: Stop iterating of the change in x and y is less than this number.
modeColor - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
modeLocation - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
modeMemberCount - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
modeX - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
modeY - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch

N

N - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop
naive4(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Slow algorithm which processes the whole image.
naive8(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.impl.ImplEdgeNonMaxSuppression: Slow algorithm which processes the whole image.
naiveGradient(T, double, double, double, int, double, boolean, double[], double[]) - Static method in class boofcv.alg.feature.describe.impl.ImplSurfDescribeOps: Simple algorithm for computing the gradient of a region.
ncc(NccFeature, NccFeature) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Normalized cross correlation (NCC) computed using a faster technique.

NCC = sum(a[i]*b[i]) / (N*sigma_a * sigma_b)
where a[i] = I[i]-mean(a), I[i] is the image pixel intensity around the feature, and N is the number of elements.
NccFeature - Class in boofcv.struct.feature: Description for normalized cross correlation (NCC).
NccFeature(int) - Constructor for class boofcv.struct.feature.NccFeature
NccFeature() - Constructor for class boofcv.struct.feature.NccFeature
NccFeatureQueue - Class in boofcv.struct.feature: FastQueue for NccFeature.
NccFeatureQueue(int) - Constructor for class boofcv.struct.feature.NccFeatureQueue
nogradient(int, Class<T>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs
nonmax(ConfigExtract) - Static method in class boofcv.factory.feature.detect.extract.FactoryFeatureExtractor: Standard non-max feature extractor.
NonMaxBlock - Class in boofcv.alg.feature.detect.extract: Non-maximum extractor based on the block algorithm in [1].
NonMaxBlock(boolean, boolean) - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlock
NonMaxBlockRelaxed - Class in boofcv.alg.feature.detect.extract: Implementation of NonMaxBlock which implements a relaxed maximum rule.
NonMaxBlockRelaxed(boolean, boolean) - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed
NonMaxBlockRelaxed.Max - Class in boofcv.alg.feature.detect.extract
NonMaxBlockRelaxed.Max() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.Max
NonMaxBlockRelaxed.Min - Class in boofcv.alg.feature.detect.extract
NonMaxBlockRelaxed.Min() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.Min
NonMaxBlockRelaxed.MinMax - Class in boofcv.alg.feature.detect.extract
NonMaxBlockRelaxed.MinMax() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.MinMax
NonMaxBlockStrict - Class in boofcv.alg.feature.detect.extract: Implementation of NonMaxBlock which implements a strict maximum rule.
NonMaxBlockStrict(boolean, boolean) - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockStrict
NonMaxBlockStrict.Max - Class in boofcv.alg.feature.detect.extract
NonMaxBlockStrict.Max() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.Max
NonMaxBlockStrict.Min - Class in boofcv.alg.feature.detect.extract
NonMaxBlockStrict.Min() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.Min
NonMaxBlockStrict.MinMax - Class in boofcv.alg.feature.detect.extract
NonMaxBlockStrict.MinMax() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.MinMax
NonMaxCandidate - Class in boofcv.alg.feature.detect.extract: Performs a sparse search for local minimums/maximums by only examine around candidates.
NonMaxCandidate() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxCandidate
nonmaxCandidate(ConfigExtract) - Static method in class boofcv.factory.feature.detect.extract.FactoryFeatureExtractor: Non-max feature extractor which saves a candidate list of all the found local maximums..
NonMaxCandidateRelaxed - Class in boofcv.alg.feature.detect.extract: Applies a relaxed peak rule to candidates
NonMaxCandidateRelaxed() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxCandidateRelaxed
NonMaxCandidateStrict - Class in boofcv.alg.feature.detect.extract: Applies a strict peak rule to candidates
NonMaxCandidateStrict() - Constructor for class boofcv.alg.feature.detect.extract.NonMaxCandidateStrict
NonMaxExtractorNaive - Class in boofcv.alg.feature.detect.extract: Extracts corners at local maximums that are above a threshold.
NonMaxExtractorNaive(boolean) - Constructor for class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
NonMaxSuppression - Interface in boofcv.abst.feature.detect.extract: Detects local minimums and/or maximums in an intensity image inside square regions.
nonMaxSuppression4(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than either of the two adjacent pixels.
nonMaxSuppression8(ImageFloat32, ImageSInt8, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than either of the two adjacent pixels.
nonMaxSuppressionCrude4(ImageFloat32, D, D, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GGradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than any of the two adjacent pixels.
nonMaxSuppressionCrude4(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than any of the two adjacent pixels.
nonMaxSuppressionCrude4(ImageFloat32, ImageSInt16, ImageSInt16, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than any of the two adjacent pixels.
nonMaxSuppressionCrude4(ImageFloat32, ImageSInt32, ImageSInt32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.edge.GradientToEdgeFeatures: Sets edge intensities to zero if the pixel has an intensity which is less than any of the two adjacent pixels.
NORM_ERROR - Static variable in class boofcv.struct.feature.MatchScoreType: These error metrics have values greater than or equal to zero.
normalize() - Method in class boofcv.alg.feature.color.FHistogramNormalized: Normalizes the histogram such that it's sum is equal to one.
normalizeFeatures(double[]) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps
numAngles - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
numAngles - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
numberOfOctaves - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Typically 4.
numberOfRegions - Variable in class boofcv.factory.segmentation.ConfigSlic: Number of regions which will be initially seeded.
numberScalesPerOctave - Variable in class boofcv.abst.feature.detect.interest.ConfigFastHessian: Typically 4.
numBits - Variable in class boofcv.struct.feature.TupleDesc_B
numDestination - Variable in class boofcv.abst.feature.associate.EnforceUniqueByScore
numHistBins - Variable in class boofcv.abst.feature.describe.ConfigSiftDescribe: Number of bins in the orientation histogram.
numInner - Variable in class boofcv.alg.flow.ConfigBroxWarping: Number of iterations in the inner loop
numIterations - Variable in class boofcv.alg.flow.HornSchunck
numIterations - Variable in class boofcv.factory.flow.ConfigHornSchunck: Number of iterations.
numOctaves - Variable in class boofcv.abst.feature.describe.ConfigSiftScaleSpace: Number of octaves to detect.
numOctaves - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
numOuter - Variable in class boofcv.alg.flow.ConfigBroxWarping: Number of iterations in the outer loop
numPoints - Variable in class boofcv.abst.feature.describe.ConfigBrief: Number of points sampled.
numSamples - Variable in class boofcv.abst.feature.describe.ConfigSiftDescribe: Number of samples along a grid.
numScales - Variable in class boofcv.abst.feature.describe.ConfigSiftScaleSpace: Number of scales per octaves.
numScales - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
numSource - Variable in class boofcv.abst.feature.associate.EnforceUniqueByScore
numWarps - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Number of warps which it will apply.

O

offset - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
offsets - Variable in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
offsetsA - Variable in class boofcv.alg.feature.describe.DescribePointBinaryCompare
offsetsB - Variable in class boofcv.alg.feature.describe.DescribePointBinaryCompare
order - Variable in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindowIntegral
orientation - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
OrientationAverage<D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.orientation: Computes the orientation of a region by summing up the derivative along each axis independently then computing the direction fom the sum.
OrientationAverage(boolean) - Constructor for class boofcv.alg.feature.orientation.OrientationAverage
OrientationGradient<D extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.orientation: Estimates the orientation of a region from the image gradient.
OrientationGradientToImage<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.orientation: Converts an implementation of OrientationGradient into OrientationImage.
OrientationGradientToImage(OrientationGradient<D>, ImageGradient<T, D>, Class<T>, Class<D>) - Constructor for class boofcv.abst.feature.orientation.OrientationGradientToImage
OrientationHistogram<D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.orientation: Estimates the orientation by creating a histogram of discrete angles around the entire circle.
OrientationHistogram(int, boolean) - Constructor for class boofcv.alg.feature.orientation.OrientationHistogram: Constructor.
OrientationHistogramSift - Class in boofcv.alg.feature.orientation: Computes the orientation of a region around a point in scale-space as specified in the SIFT [1] paper.
OrientationHistogramSift(int, double, double) - Constructor for class boofcv.alg.feature.orientation.OrientationHistogramSift: Configures orientation estimation
OrientationImage<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.orientation: Estimates the orientation of a region directly from the image's pixels.
OrientationImageAverage<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.orientation: Computes the orientation of a region by computing a weighted sum of each pixel's intensity using their respective sine and cosine values.
OrientationImageAverage(int) - Constructor for class boofcv.alg.feature.orientation.OrientationImageAverage
OrientationIntegral<II extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.orientation: Estimate the orientation of an image from an integral image.
OrientationIntegralBase<II extends boofcv.struct.image.ImageSingleBand,G extends boofcv.struct.sparse.GradientValue> - Class in boofcv.alg.feature.orientation: Common base class for integral image region orientation algorithms.
OrientationIntegralBase(int, double, int, double, Class<II>) - Constructor for class boofcv.alg.feature.orientation.OrientationIntegralBase: Configure orientation estimation.
OrientationIntegralToImage<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.orientation: Converts an implementation of OrientationIntegral into OrientationImage.
OrientationIntegralToImage(OrientationIntegral<II>, Class<T>, Class<II>) - Constructor for class boofcv.abst.feature.orientation.OrientationIntegralToImage
OrientationSiftToImage - Class in boofcv.abst.feature.orientation: Wrapper around OrientationHistogramSift for OrientationImage.
OrientationSiftToImage(OrientationHistogramSift, SiftImageScaleSpace) - Constructor for class boofcv.abst.feature.orientation.OrientationSiftToImage
OrientationSlidingWindow<D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.orientation: Estimates the orientation by sliding window across all angles.
OrientationSlidingWindow(int, double, boolean) - Constructor for class boofcv.alg.feature.orientation.OrientationSlidingWindow: Configures orientation estimating algorithm.
output - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
outputSub - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
overLap - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe.Stability: Number of sample points sub-regions overlap, Typically 2.

P

parameterize(int, int, float, float) - Method in class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Takes the detected point along the line and its gradient and converts it into transform space.
parameterize(int, int) - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Converts the pixel coordinate into a line in parameter space
parent - Variable in class boofcv.alg.feature.detect.edge.EdgeSegment: which segment did this spawn from
parentPixel - Variable in class boofcv.alg.feature.detect.edge.EdgeSegment: which pixel in the segment did it spawn from
peakX - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
peakY - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
performMerge(ImageSInt32, GrowQueue_I32) - Method in class boofcv.alg.segmentation.ms.RegionMergeTree: Merges regions together and updates the provided data structures for said changes.
performThresholding(float, float, ImageUInt8) - Method in class boofcv.alg.feature.detect.edge.CannyEdge
performThresholding(float, float, ImageUInt8) - Method in class boofcv.alg.feature.detect.edge.CannyEdgeDynamic
performTracking(PyramidKltFeature) - Method in class boofcv.alg.tracker.combined.PyramidKltForCombined: Updates the track using the latest inputs.
period - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
perturbCenter(SegmentSlic.Cluster, int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Set the cluster's center to be the pixel in a 3x3 neighborhood with the smallest gradient
pixel(int, int, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a region descriptor based on pixel intensity values alone.
pixelColor - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
pixelNCC(int, int, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a region descriptor based on normalized pixel intensity values alone.
pixelRegion(int, int, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
pixelRegionNCC(int, int, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
pixels - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
pixelScale - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
pixelTol - Variable in class boofcv.abst.feature.detect.interest.ConfigFast: How different pixels need to be to be considered part of a corner.
pixelToMode - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
PkltConfig - Class in boofcv.alg.tracker.klt: Configuration class for PyramidKltTracker.
PkltConfig() - Constructor for class boofcv.alg.tracker.klt.PkltConfig
PkltConfig(int) - Constructor for class boofcv.alg.tracker.klt.PkltConfig
PkltConfig(int, int[]) - Constructor for class boofcv.alg.tracker.klt.PkltConfig
point2D - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
PointDescSet<TD extends TupleDesc> - Interface in boofcv.abst.feature.detdesc: A set of point image features which were detected and described using the same techniques.
points - Variable in class boofcv.alg.feature.detect.edge.EdgeSegment: List of pixels in this segment
polyPeak(float, float, float) - Static method in class boofcv.alg.feature.detect.interest.FastHessianFeatureDetector: Fits a second order polynomial to the data and determines the location of the peak.
positive(TupleDesc_F64, TupleDesc_U8) - Static method in class boofcv.alg.feature.describe.ConvertTupleDescOps: Converts a floating point description with all positive values into the 8-bit integer descriptor by dividing each element in the input by the element maximum value and multiplying by 255.
positive_F64_U8(int) - Static method in class boofcv.factory.feature.describe.FactoryConvertTupleDesc: Converts two TupleDesc as describe by ConvertTupleDescOps.positive(TupleDesc_F64, TupleDesc_U8).
process(double, double, double, double, Desc) - Method in interface boofcv.abst.feature.describe.DescribeRegionPoint: Extract a description of the local image at the given point, scale, and orientation.
process(double, double, double, double, Out) - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
process(double, double, double, double, SurfFeature) - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
process(double, double, double, double, TupleDesc_B) - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
process(double, double, double, double, TupleDesc_B) - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
process(double, double, double, double, D) - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
process(double, double, double, double, NccFeature) - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
process(double, double, double, double, SurfFeature) - Method in class boofcv.abst.feature.describe.WrapDescribeSift
process(double, double, double, double, SurfFeature) - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
process(T) - Method in interface boofcv.abst.feature.detdesc.DetectDescribeMulti: Detects features inside the image.
process(T) - Method in class boofcv.abst.feature.detdesc.DetectDescribeMultiFusion
process(T) - Method in class boofcv.abst.feature.detdesc.DetectDescribeSingleToMulti
process(ImageFloat32, QueueCorner, QueueCorner, QueueCorner, QueueCorner) - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Process a feature intensity image to extract the point features.
process(ImageFloat32, QueueCorner, QueueCorner, QueueCorner, QueueCorner) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
process(ImageFloat32, QueueCorner, QueueCorner, QueueCorner, QueueCorner) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
process(ImageFloat32, QueueCorner, QueueCorner, QueueCorner, QueueCorner) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
process(I, D, D, D, D, D) - Method in interface boofcv.abst.feature.detect.intensity.GeneralFeatureIntensity: Computes the corner's intensity.
process(I, D, D, D, D, D) - Method in class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
process(I, D, D, D, D, D) - Method in class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
process(I, D, D, D, D, D) - Method in class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
process(I, D, D, D, D, D) - Method in class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
process(I, ImageSingleBand, ImageSingleBand, ImageSingleBand, ImageSingleBand, ImageSingleBand) - Method in class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
process(I, D, D, D, D, D) - Method in class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
process(ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.abst.feature.detect.line.DetectGridRansacLine
process(Image, Image) - Method in interface boofcv.abst.feature.disparity.StereoDisparity: Computes stereo disparity.
process(int, int) - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: Calculates the disparity at the specified point.
process(T, T) - Method in class boofcv.abst.feature.disparity.WrapDisparitySadRect
process(int, int) - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
process(T, T, ImageFlow) - Method in class boofcv.abst.flow.BroxWarpingSpacial_to_DenseOpticalFlow
process(T, T, ImageFlow) - Method in interface boofcv.abst.flow.DenseOpticalFlow: Computes the optical flow.
process(T, T, ImageFlow) - Method in class boofcv.abst.flow.FlowBlock_to_DenseOpticalFlow
process(I, I, ImageFlow) - Method in class boofcv.abst.flow.FlowKlt_to_DenseOpticalFlow
process(T, T, ImageFlow) - Method in class boofcv.abst.flow.HornSchunck_to_DenseOpticalFlow
process(T, T, ImageFlow) - Method in class boofcv.abst.flow.HornSchunckPyramid_to_DenseOpticalFlow
process(FastQueue<AssociatedIndex>, int, int) - Method in class boofcv.alg.feature.associate.AssociateUniqueByScoreAlg: Given a set of matches, enforce the uniqueness rules it was configured to.
process(FastQueue<AssociatedIndex>, int) - Method in class boofcv.alg.feature.associate.EnsureUniqueAssociation: Removes ambiguous associations.
process(double, double, double, double, Desc) - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral
process(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.DescribePointBinaryCompare: Computes the descriptor at the specified point.
process(double, double, TupleDesc_B) - Method in class boofcv.alg.feature.describe.DescribePointBrief: Computes the descriptor at the specified point.
process(float, float, float, float, TupleDesc_B) - Method in class boofcv.alg.feature.describe.DescribePointBriefSO
process(int, int, D) - Method in class boofcv.alg.feature.describe.DescribePointPixelRegion: Extracts the descriptor from the specified point.
process(int, int, NccFeature) - Method in class boofcv.alg.feature.describe.DescribePointPixelRegionNCC: Extracts the descriptor at the specified location.
process(double, double, double, double, SurfFeature) - Method in class boofcv.alg.feature.describe.DescribePointSift
process(double, double, double, double, int, double, SurfFeature) - Method in class boofcv.alg.feature.describe.DescribePointSift: Compute the descriptor with information on which level in the scale-space to use.
process(int, int, TupleDesc_F32) - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_F32
process(int, int, TupleDesc_U8) - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegion_U8
process(int, int, NccFeature) - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegionNCC_F32
process(int, int, NccFeature) - Method in class boofcv.alg.feature.describe.impl.ImplDescribePointPixelRegionNCC_U8
process(ImageFloat32) - Method in class boofcv.alg.feature.detdesc.DetectDescribeSift: Processes the image and extracts SIFT features
process(T, float, float, ImageUInt8) - Method in class boofcv.alg.feature.detect.edge.CannyEdge: Runs a canny edge detector on the input image given the provided thresholds.
process(ImageFloat32, ImageSInt8, float, float, ImageUInt8) - Method in class boofcv.alg.feature.detect.edge.HysteresisEdgeTraceMark: Performs hysteresis thresholding using the provided lower and upper thresholds.
process(ImageFloat32, ImageSInt8, float, float) - Method in class boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints: Performs hysteresis thresholding using the provided lower and upper thresholds.
process(ImageFloat32, QueueCorner, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock: Detects local minimums and/or maximums in the provided intensity image.
process(ImageFloat32, QueueCorner, QueueCorner, QueueCorner, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate: Checks to see if the specified candidates are local minimums or maximums.
process(ImageFloat32, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
process(ImageFloat32, QueueCorner, boolean) - Method in class boofcv.alg.feature.detect.extract.SelectNBestFeatures
process(ImageFloat32, QueueCorner) - Method in class boofcv.alg.feature.detect.extract.ThresholdCornerExtractor: Selects pixels as corners which are above the threshold.
process(T, ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
process(T, T, ImageFloat32) - Method in interface boofcv.alg.feature.detect.intensity.GradientCornerIntensity: Computes feature intensity image.
process(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplKitRosCornerIntensity
process(ImageFloat32, ImageSInt16, ImageSInt16, ImageSInt16, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplKitRosCornerIntensity
process(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplMedianCornerIntensity
process(ImageFloat32, ImageUInt8, ImageUInt8) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplMedianCornerIntensity
process(D, D, ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
process(T, T, ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerNaive
process(ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
process(ImageSInt16, ImageSInt16, ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
process(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.KitRosCornerIntensity
process(ImageFloat32, ImageSInt16, ImageSInt16, ImageSInt16, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.KitRosCornerIntensity
process(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.MedianCornerIntensity
process(ImageFloat32, ImageUInt8, ImageUInt8) - Static method in class boofcv.alg.feature.detect.intensity.MedianCornerIntensity
process(I, D, D, D, D, D) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Computes point features from image gradients.
process(SiftImageScaleSpace) - Method in class boofcv.alg.feature.detect.interest.SiftDetector
process(MatrixOfList<LineSegment2D_F32>) - Method in class boofcv.alg.feature.detect.line.ConnectLinesGrid
process(D, D, ImageUInt8) - Method in class boofcv.alg.feature.detect.line.GridRansacLineDetector: Detects line segments through the image inside of grids.
process(T, T) - Method in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
process(T) - Method in class boofcv.alg.feature.detect.template.TemplateMatching: Performs template matching.
process(T, T) - Method in interface boofcv.alg.feature.detect.template.TemplateMatchingIntensity: Matches the template to the image and computes an intensity image.
process(T, T) - Method in class boofcv.alg.feature.detect.template.TemplateNCC
process(Input, Input, Disparity) - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat: Computes disparity between two stereo images
process(int, Array) - Method in interface boofcv.alg.feature.disparity.DisparitySelect: Processes the array of scores.
process(int, int) - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect: Compute disparity scores for the specified pixel.
process(int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_F32
process(int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_S16
process(int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparitySparseScoreSadRect_U8
process(int, float[]) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_F32_U8
process(int, int[]) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectBasicWta_S32_U8
process(int, float[]) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_F32
process(int, int[]) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
process(I, I, ImageFloat32) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaive: Computes the disparity for two stereo images along the image's right axis.
process(I, I, ImageFloat32) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaiveFive: Computes the disparity for two stereo images along the image's right axis.
process(double, double, double) - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: Estimates the orientation(s) of a region at the specified location and scale
process(List<Point2D_I32>) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFit: Approximates the input list with a set of line segments
process(List<Point2D_I32>) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop
process(List<Point2D_I32>) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitSegment
process(ImagePyramid<ImageFloat32>, ImagePyramid<ImageFloat32>) - Method in class boofcv.alg.flow.BroxWarpingSpacial: Computes dense optical flow from the provided image pyramid.
process(T, T) - Method in class boofcv.alg.flow.DenseFlowPyramidBase: Processes the raw input images.
process(ImagePyramid<ImageFloat32>, ImagePyramid<ImageFloat32>) - Method in class boofcv.alg.flow.DenseFlowPyramidBase: Computes dense optical flow from the provided image pyramid.
process(ImagePyramid<T>, ImagePyramid<T>) - Method in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid: Computes the optical flow form 'prev' to 'curr' and stores the output into output
process(ImagePyramid, D[], D[], ImagePyramid, ImageFlow) - Method in class boofcv.alg.flow.DenseOpticalFlowKlt
process(T, T, ImageFlow) - Method in class boofcv.alg.flow.HornSchunck: Computes dense optical flow from the first image's gradient and the difference between the second and the first image.
process(ImagePyramid<ImageFloat32>, ImagePyramid<ImageFloat32>) - Method in class boofcv.alg.flow.HornSchunckPyramid: Computes dense optical flow from the provided image pyramid.
process(T, ImageSInt32, GrowQueue_I32, FastQueue<float[]>) - Method in class boofcv.alg.segmentation.ComputeRegionMeanColor: Compute the average color for each region
process(T, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in interface boofcv.alg.segmentation.fh04.FhEdgeWeights
process(ImageFloat32, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_F32
process(MultiSpectral<ImageFloat32>, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsF32
process(MultiSpectral<ImageUInt8>, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_MsU8
process(ImageUInt8, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights4_U8
process(ImageFloat32, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_F32
process(MultiSpectral<ImageFloat32>, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsF32
process(MultiSpectral<ImageUInt8>, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_MsU8
process(ImageUInt8, FastQueue<SegmentFelzenszwalbHuttenlocher04.Edge>) - Method in class boofcv.alg.segmentation.fh04.impl.FhEdgeWeights8_U8
process(T, ImageSInt32) - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Segments the image.
process(ImageSInt32, ImageSInt32, GrowQueue_I32) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage: Relabels the image such that all pixels with the same label are a member of the same graph.
process(ImageSInt32, GrowQueue_I32, FastQueue<float[]>, FastQueue<Point2D_I32>) - Method in class boofcv.alg.segmentation.ms.MergeRegionMeanShift: Merges together similar regions which are in close proximity to each other.
process(T, ImageSInt32, GrowQueue_I32, FastQueue<float[]>) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions: Merges together smaller regions.
process(T, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShift: Performs mean-shift segmentation on the input image.
process(T) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Performs mean-shift clustering on the input image
process(T) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor: Performs mean-shift clustering on the input image
process(T) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray: Performs mean-shift clustering on the input image
process(T, ImageSInt32) - Method in class boofcv.alg.segmentation.slic.SegmentSlic
process(ImageUInt8) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Perform watershed segmentation on the provided input image.
process(ImageUInt8, ImageSInt32) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Segments the image using initial seeds for each region.
processBorder(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.DescribePointBinaryCompare: Called if the descriptor region goes outside the image border
processBorder(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_F32
processBorder(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_U8
processInside(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.DescribePointBinaryCompare: Called if the descriptor region is contained entirely inside the image
processInside(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_F32
processInside(int, int, TupleDesc_B) - Method in class boofcv.alg.feature.describe.impl.ImplDescribeBinaryCompare_U8
processLayer(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.BroxWarpingSpacial: Computes the flow for a layer using Taylor series expansion and Successive Over-Relaxation linear solver.
processLayer(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunckPyramid: Computes the flow for a layer using Taylor series expansion and Successive Over-Relaxation linear solver.
pruneClutteredGrids(MatrixOfList<LineSegment2D_F32>, int) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
pruneGraph - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
pruneNBest(int) - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
pruneRelative(float) - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
pruneRelativeIntensity(List<LineParametric2D_F32>, float[], float) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
pruneSimilar(float, float, int, int) - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
pruneSimilarLines(List<LineParametric2D_F32>, float[], float, float, int, int) - Static method in class boofcv.alg.feature.detect.line.LineImageOps: Prunes similar looking lines, but keeps the lines with the most intensity.
pruneSmall(List<LineSegment2D_F32>, float) - Static method in class boofcv.alg.feature.detect.line.LineImageOps
psiData - Variable in class boofcv.alg.flow.BroxWarpingSpacial
psiGradient - Variable in class boofcv.alg.flow.BroxWarpingSpacial
psiSmooth - Variable in class boofcv.alg.flow.BroxWarpingSpacial
pyr1 - Variable in class boofcv.alg.flow.DenseFlowPyramidBase
pyr2 - Variable in class boofcv.alg.flow.DenseFlowPyramidBase
PyramidKltFeature - Class in boofcv.alg.tracker.klt: Feature which is tracked by the PyramidKltTracker.
PyramidKltFeature(int, int) - Constructor for class boofcv.alg.tracker.klt.PyramidKltFeature: Configures the feature's description
PyramidKltForCombined - Class in boofcv.alg.tracker.combined: Pyramidal KLT tracker designed for CombinedTrackerScalePoint.
PyramidKltForCombined(KltConfig, int, int[], Class, Class<D>) - Constructor for class boofcv.alg.tracker.combined.PyramidKltForCombined
PyramidKltForCombined() - Constructor for class boofcv.alg.tracker.combined.PyramidKltForCombined
PyramidKltTracker<InputImage extends boofcv.struct.image.ImageSingleBand,DerivativeImage extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.tracker.klt: A pyramid Kanade-Lucas-Tomasi (KLT) tracker that allows features to be tracker over a larger region than the basic (KltTracker) implementation.
PyramidKltTracker(KltTracker<InputImage, DerivativeImage>) - Constructor for class boofcv.alg.tracker.klt.PyramidKltTracker
pyramidScale - Variable in class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid: Difference in scale between layers in the pyramid.
pyramidScaling - Variable in class boofcv.alg.tracker.combined.PyramidKltForCombined: Scale factor for each layer in the pyramid
pyramidScaling - Variable in class boofcv.alg.tracker.klt.PkltConfig: Scale factor for each layer in the pyramid
pyrMaxLayers - Variable in class boofcv.alg.flow.ConfigBroxWarping: Maximum number of layers in the pyramid
pyrMaxLayers - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Maximum number of layers in the pyramid
pyrScale - Variable in class boofcv.alg.flow.ConfigBroxWarping: Change in scale between each layer.
pyrScale - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Change in scale between each layer.
pyrSigma - Variable in class boofcv.alg.flow.ConfigBroxWarping: Amount of gaussian blur applied to each layer in the pyramid.
pyrSigma - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: Amount of blur applied to each layer in the pyramid.

Q

quickMode - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch

R

radius - Variable in class boofcv.abst.feature.describe.ConfigBrief: Region's radius.
radius - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: Search radius of the non-maximum region.
radius - Variable in class boofcv.abst.feature.orientation.ConfigAverageIntegral: Radius of the region being considered in terms of samples.
radius - Variable in class boofcv.abst.feature.orientation.ConfigSlidingIntegral: Radius of the region being considered in terms of samples.
radius - Variable in class boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32
radius - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
radius - Variable in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
radius - Static variable in class boofcv.alg.feature.detect.intensity.FastCornerIntensity
radius - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
radius - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
radius - Variable in class boofcv.alg.feature.orientation.OrientationAverage
radius - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
radius - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
radius - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
radius - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
radius - Variable in class boofcv.alg.tracker.klt.KltFeature: The feature's size.
radiusDescriptor - Variable in class boofcv.alg.feature.describe.DescribePointSurf
radiusHeight - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
radiusScale - Variable in class boofcv.alg.feature.orientation.OrientationAverage
radiusScale - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
radiusScale - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
radiusScale - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
radiusWidth - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
radiusX - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
radiusX - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
radiusX - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
radiusX - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
radiusX - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
radiusY - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
radiusY - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
radiusY - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
rangeDisparity - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
rangeDisparity - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
rangeDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
rangeDisparity - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
real(TupleDesc_F64, TupleDesc_S8) - Static method in class boofcv.alg.feature.describe.ConvertTupleDescOps: Converts a floating point description with real values into the 8-bit integer descriptor by dividing each element in the input by the element maximum absolute value and multiplying by 127.
real_F64_S8(int) - Static method in class boofcv.factory.feature.describe.FactoryConvertTupleDesc: Converts two TupleDesc as describe by ConvertTupleDescOps.real(TupleDesc_F64, TupleDesc_S8).
rect - Variable in class boofcv.alg.feature.orientation.OrientationAverage
rect - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
rect - Variable in class boofcv.alg.feature.orientation.OrientationImageAverage
rect - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
region(ConfigOpticalFlowBlockPyramid, Class<T>) - Static method in class boofcv.factory.flow.FactoryDenseOpticalFlow: Creates a pyramidal block
regionHeight - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
regionHeight - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
regionHeight - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
regionMeanColor(ImageType<T>) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg: Creates an instance of ComputeRegionMeanColor for the specified image type.
regionMemberCount - Variable in class boofcv.alg.segmentation.ms.ClusterLabeledImage
RegionMergeTree - Class in boofcv.alg.segmentation.ms: Merges regions together quickly and efficiently using a directed tree graph.
RegionMergeTree() - Constructor for class boofcv.alg.segmentation.ms.RegionMergeTree
RegionOrientation - Interface in boofcv.abst.feature.orientation: Estimates the orientation of a region.
regionPixelId_to_Compact(ImageSInt32, GrowQueue_I32, ImageSInt32) - Static method in class boofcv.alg.segmentation.ImageSegmentationOps: Compacts the region labels such that they are consecutive numbers starting from 0.
regionRadius - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
regionRadius - Variable in class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid: Radius of the square region
regionSize - Variable in class boofcv.alg.feature.detect.line.GridRansacLineDetector
regionSize - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
regionSparseWta(int, int, int, int, double, double, boolean, Class<T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparity: WTA algorithms that computes disparity on a sparse per-pixel basis as requested..
regionSubpixelWta(DisparityAlgorithms, int, int, int, int, double, int, double, Class<T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparity: Returns an algorithm for computing a dense disparity images with sub-pixel disparity accuracy.
regionWidth - Variable in class boofcv.alg.feature.describe.DescribePointRectangleRegion
regionWidth - Variable in class boofcv.alg.feature.disparity.DisparityScoreRowFormat
regionWidth - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
regionWidth - Variable in class boofcv.alg.feature.disparity.SelectRectBasicWta
regionWidth - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
regionWta(DisparityAlgorithms, int, int, int, int, double, int, double, Class<T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparity: Crates algorithms for computing dense disparity images up to pixel level accuracy.
remove(ImageSInt32) - Method in class boofcv.alg.segmentation.watershed.RemoveWatersheds: Removes watersheds from the segmented image.
RemoveWatersheds - Class in boofcv.alg.segmentation.watershed: Examines a segmented image created by WatershedVincentSoille1991 and merged watershed pixels into neighboring regions.
RemoveWatersheds() - Constructor for class boofcv.alg.segmentation.watershed.RemoveWatersheds
removeWatersheds - Variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
removeWatersheds() - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Removes watershed pixels from the output image by merging them into an arbitrary neighbor.
requiresOrientation() - Method in interface boofcv.abst.feature.describe.DescribeRegionPoint: Deprecated.
Likely to be removed in the near future. if this flag is true or not won't change the input it gets when paired with InterestPointDetector
requiresOrientation() - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
requiresOrientation() - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribeSift
requiresOrientation() - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
requiresOrientation() - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral
requiresScale() - Method in interface boofcv.abst.feature.describe.DescribeRegionPoint: Deprecated.
Likely to be removed in the near future. if this flag is true or not won't change the input it gets when paired with InterestPointDetector
requiresScale() - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
requiresScale() - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribeSift
requiresScale() - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
requiresScale() - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral
reset() - Method in class boofcv.alg.feature.detect.edge.EdgeContour
reset() - Method in class boofcv.alg.feature.detect.edge.EdgeSegment
reset() - Method in class boofcv.alg.feature.detect.line.ImageLinePruneMerge
reset() - Method in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
reset() - Method in class boofcv.alg.segmentation.slic.SegmentSlic.Pixel
reset() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Sets the tracker into its initial state.
reset() - Method in class boofcv.struct.feature.MatrixOfList
resetOutput - Variable in class boofcv.alg.flow.HornSchunck
reshape(int, int) - Method in class boofcv.struct.feature.MatrixOfList
reshape(int, int) - Method in class boofcv.struct.flow.ImageFlow: Changes the shape to match the specified dimension.
resizeForLayer(int, int) - Method in class boofcv.alg.flow.BroxWarpingSpacial: Resize images for the current layer being processed
resolutionAngle - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Resolution of line angle in radius.
resolutionRange - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Resolution of line range in pixels.
right - Variable in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect
rightToLeftTolerance - Variable in class boofcv.alg.feature.disparity.SelectRectStandard
rootID - Variable in class boofcv.alg.segmentation.ms.RegionMergeTree
rotatedWidth(double, double, double) - Static method in class boofcv.alg.feature.describe.SurfDescribeOps: Computes the width of a square containment region that contains a rotated rectangle.

S

s(int, int) - Method in class boofcv.alg.flow.BroxWarpingSpacial
s - Variable in class boofcv.struct.feature.CachedSineCosine_F32
sad(TupleDesc_U8, TupleDesc_U8) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Sum of absolute difference (SAD) score
sad(TupleDesc_S8, TupleDesc_S8) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Sum of absolute difference (SAD) score
sad(TupleDesc_F32, TupleDesc_F32) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Sum of absolute difference (SAD) score
sad(TupleDesc_F64, TupleDesc_F64) - Static method in class boofcv.alg.feature.associate.DescriptorDistance: Sum of absolute difference (SAD) score
safe(int, int, ImageFloat32) - Static method in class boofcv.alg.flow.HornSchunckPyramid: Ensures pixel values are inside the image.
samplePeriod - Variable in class boofcv.abst.feature.orientation.ConfigAverageIntegral: How often the image is sampled.
samplePeriod - Variable in class boofcv.abst.feature.orientation.ConfigSlidingIntegral: How often the image is sampled.
samplePoints - Variable in class boofcv.alg.feature.describe.brief.BinaryCompareDefinition_I32
sampleWidth - Variable in class boofcv.abst.feature.orientation.ConfigAverageIntegral: How wide of a kernel should be used to sample.
sampleWidth - Variable in class boofcv.abst.feature.orientation.ConfigSlidingIntegral: Size of kernel doing the sampling.
sampleWidth - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
savePeakColor(float[]) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
scale - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
scale - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
scale - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
scale - Variable in class boofcv.struct.feature.ScalePoint
ScalePoint - Class in boofcv.struct.feature: Where a point of interest was detected and at what scale.
ScalePoint(double, double, double) - Constructor for class boofcv.struct.feature.ScalePoint
ScalePoint(double, double, double, boolean) - Constructor for class boofcv.struct.feature.ScalePoint
ScalePoint() - Constructor for class boofcv.struct.feature.ScalePoint
scalePower - Variable in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
scalePower - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
scaleToImageIndex(double) - Method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Given the scale, return the index of the layer in the scale-space that is the closest match.
score(TupleDesc_F64, TupleDesc_F64) - Method in class boofcv.abst.feature.associate.ScoreAssociateCorrelation
score(TupleDesc_F64, TupleDesc_F64) - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64
score(TupleDesc_F32, TupleDesc_F32) - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F32
score(TupleDesc_F64, TupleDesc_F64) - Method in class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F64
score(TupleDesc_B, TupleDesc_B) - Method in class boofcv.abst.feature.associate.ScoreAssociateHamming_B
score(NccFeature, NccFeature) - Method in class boofcv.abst.feature.associate.ScoreAssociateNccFeature
score(TupleDesc_F32, TupleDesc_F32) - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_F32
score(TupleDesc_F64, TupleDesc_F64) - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_F64
score(TupleDesc_S8, TupleDesc_S8) - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_S8
score(TupleDesc_U8, TupleDesc_U8) - Method in class boofcv.abst.feature.associate.ScoreAssociateSad_U8
score(Desc, Desc) - Method in interface boofcv.abst.feature.associate.ScoreAssociation: Compute the fit score between the two features.
score - Variable in class boofcv.alg.feature.associate.HammingTable16
score - Variable in class boofcv.struct.feature.Match: Score indicating the match quality.
ScoreAssociateCorrelation - Class in boofcv.abst.feature.associate: Scores two possible associations using DescriptorDistance.correlation(boofcv.struct.feature.TupleDesc_F64, boofcv.struct.feature.TupleDesc_F64).
ScoreAssociateCorrelation() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateCorrelation
ScoreAssociateEuclidean_F64 - Class in boofcv.abst.feature.associate: Scores based on Euclidean distance
ScoreAssociateEuclidean_F64() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateEuclidean_F64
ScoreAssociateEuclideanSq_F32 - Class in boofcv.abst.feature.associate: Scores based on Euclidean distance squared
ScoreAssociateEuclideanSq_F32() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F32
ScoreAssociateEuclideanSq_F64 - Class in boofcv.abst.feature.associate: Scores based on Euclidean distance squared
ScoreAssociateEuclideanSq_F64() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateEuclideanSq_F64
ScoreAssociateHamming_B - Class in boofcv.abst.feature.associate: Score association between two BRIEF features.
ScoreAssociateHamming_B() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateHamming_B
ScoreAssociateNccFeature - Class in boofcv.abst.feature.associate: Association scorer for NccFeatures.
ScoreAssociateNccFeature() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateNccFeature
ScoreAssociateSad_F32 - Class in boofcv.abst.feature.associate: Computes sum of absolute difference (SAD) score for TupleDesc_F32.
ScoreAssociateSad_F32() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateSad_F32
ScoreAssociateSad_F64 - Class in boofcv.abst.feature.associate: Computes sum of absolute difference (SAD) score for TupleDesc_F64.
ScoreAssociateSad_F64() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateSad_F64
ScoreAssociateSad_S8 - Class in boofcv.abst.feature.associate: Computes sum of absolute difference (SAD) score for TupleDesc_U8.
ScoreAssociateSad_S8() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateSad_S8
ScoreAssociateSad_U8 - Class in boofcv.abst.feature.associate: Computes sum of absolute difference (SAD) score for TupleDesc_U8.
ScoreAssociateSad_U8() - Constructor for class boofcv.abst.feature.associate.ScoreAssociateSad_U8
ScoreAssociation<Desc> - Interface in boofcv.abst.feature.associate: Scores the fit quality between two feature descriptions.
scoreDisparitySadRect_F32(int, int, int, int, DisparitySelect<float[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySadRect_S16(int, int, int, int, DisparitySelect<int[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySadRect_U8(int, int, int, int, DisparitySelect<int[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySadRectFive_F32(int, int, int, int, DisparitySelect<float[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySadRectFive_S16(int, int, int, int, DisparitySelect<int[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySadRectFive_U8(int, int, int, int, DisparitySelect<int[], T>) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySparseSadRect_F32(int, int, int, int) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreDisparitySparseSadRect_U8(int, int, int, int) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
scoreEuclidean(Class<D>, boolean) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Scores features based on the Euclidean distance between them.
scoreHamming(Class<D>) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Hamming distance between two binary descriptors.
scoreLower(int) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper: Scores the pixel as a corner with lower values
scoreLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
scoreLower(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
scoreNcc() - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Scores features based on their Normalized Cross-Correlation (NCC).
scores - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
scoreSad(Class<D>) - Static method in class boofcv.factory.feature.associate.FactoryAssociation: Scores features based on Sum of Absolute Difference (SAD).
scoreUpper(int) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper: Scores the pixel as a corner with upper values
scoreUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
scoreUpper(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
search(float, float) - Method in class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
search(float, float) - Method in interface boofcv.abst.feature.detect.peak.SearchLocalPeak: Initial point for the search
search(float, float) - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak: Performs a mean-shift search center at the specified coordinates
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.Max
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.Min
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed.MinMax
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.Max
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.Min
searchBlock(int, int, int, int, ImageFloat32) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockStrict.MinMax
SearchLocalPeak<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.detect.peak: Interface for searching for local peaks near by a user specified point.
searchMax(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
searchMax(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidateRelaxed
searchMax(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidateStrict
searchMin(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
searchMin(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidateRelaxed
searchMin(int, float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidateStrict
searchRadius - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
searchRadius - Variable in class boofcv.factory.flow.ConfigOpticalFlowBlockPyramid: Radius of the search area
segment(T, ImageSInt32) - Method in class boofcv.abst.segmentation.Fh04_to_ImageSuperpixels
segment(T, ImageSInt32) - Method in interface boofcv.abst.segmentation.ImageSuperpixels: Segments the input image into superpixels and puts the output in labeled image.
segment(T, ImageSInt32) - Method in class boofcv.abst.segmentation.MeanShift_to_ImageSuperpixels
segment(T, ImageSInt32) - Method in class boofcv.abst.segmentation.Slic_to_ImageSuperpixels
segment(T, ImageSInt32) - Method in class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
segment - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions.Node
segment - Variable in class boofcv.alg.segmentation.slic.SegmentSlic
SegmentFelzenszwalbHuttenlocher04<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation.fh04: Implementation of Felzenszwalb-Huttenlocher [1] image segmentation algorithm.
SegmentFelzenszwalbHuttenlocher04(float, int, FhEdgeWeights<T>) - Constructor for class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04: Specifies tuning parameter
SegmentFelzenszwalbHuttenlocher04.Edge - Class in boofcv.alg.segmentation.fh04: Describes the relationship between to adjacent pixels in the image.
SegmentFelzenszwalbHuttenlocher04.Edge(int, int) - Constructor for class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge
SegmentFelzenszwalbHuttenlocher04.Edge() - Constructor for class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge
SegmentMeanShift<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation.ms: Performs mean-shift segmentation on an image.
SegmentMeanShift(SegmentMeanShiftSearch<T>, MergeRegionMeanShift, MergeSmallRegions<T>, ConnectRule) - Constructor for class boofcv.alg.segmentation.ms.SegmentMeanShift: Specifies internal classes used by mean-shift.
SegmentMeanShiftSearch<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation.ms: Performs the search step in mean-shift image segmentation [1].
SegmentMeanShiftSearch(int, float, int, int, float, boolean) - Constructor for class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Configures mean-shift segmentation
SegmentMeanShiftSearchColor<T extends boofcv.struct.image.ImageMultiBand> - Class in boofcv.alg.segmentation.ms: Implementation of SegmentMeanShiftSearch for color images
SegmentMeanShiftSearchColor(int, float, InterpolatePixelMB<T>, int, int, float, boolean, ImageType<T>) - Constructor for class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
SegmentMeanShiftSearchGray<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.segmentation.ms: Implementation of SegmentMeanShiftSearch for gray-scale images
SegmentMeanShiftSearchGray(int, float, InterpolatePixelS<T>, int, int, float, boolean) - Constructor for class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchGray
segmentPruneFlag - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
segments - Variable in class boofcv.alg.feature.detect.edge.EdgeContour
SegmentSlic<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.segmentation.slic: K-means based superpixel image segmentation, see [1].
SegmentSlic(int, float, int, ConnectRule, ImageType<T>) - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic
SegmentSlic.Cluster - Class in boofcv.alg.segmentation.slic: The mean in k-means.
SegmentSlic.Cluster() - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
SegmentSlic.ClusterDistance - Class in boofcv.alg.segmentation.slic: Stores how far a cluster is from the specified pixel
SegmentSlic.ClusterDistance() - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic.ClusterDistance
SegmentSlic.Pixel - Class in boofcv.alg.segmentation.slic: K-means clustering information for each pixel.
SegmentSlic.Pixel() - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic.Pixel
SegmentSlic_F32 - Class in boofcv.alg.segmentation.slic: Implementation of SegmentSlic for image of type ImageFloat32.
SegmentSlic_F32(int, float, int, ConnectRule) - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic_F32
SegmentSlic_MsF32 - Class in boofcv.alg.segmentation.slic: Implementation of SegmentSlic for image of type MultiSpectral of type ImageFloat32.
SegmentSlic_MsF32(int, float, int, ConnectRule, int) - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic_MsF32
SegmentSlic_MsU8 - Class in boofcv.alg.segmentation.slic: Implementation of SegmentSlic for image of type MultiSpectral of type ImageUInt8.
SegmentSlic_MsU8(int, float, int, ConnectRule, int) - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic_MsU8
SegmentSlic_U8 - Class in boofcv.alg.segmentation.slic: Implementation of SegmentSlic for image of type ImageUInt8.
SegmentSlic_U8(int, float, int, ConnectRule) - Constructor for class boofcv.alg.segmentation.slic.SegmentSlic_U8
segmentToPruneID - Variable in class boofcv.alg.segmentation.ms.MergeSmallRegions
select(ArrayType, int) - Method in interface boofcv.alg.feature.disparity.DisparitySparseSelect: Examines disparity scores and looks for the best correspondence.
select(float[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_F32
select(int[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseBasicWta_S32
select(float[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_F32
select(int[], int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32
select(float[], int) - Method in class boofcv.alg.feature.disparity.impl.SelectSparseStandardSubpixel.F32
select(int[], int) - Method in class boofcv.alg.feature.disparity.impl.SelectSparseStandardSubpixel.S32
selectBest - Variable in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector
selectBest(int) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaive: Select best disparity using the inner takes all approach
selectBest(int) - Method in class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaiveFive: Select best disparity using the inner takes all approach
selectDisparity_F32(int, int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparity_S32(int, int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySparse_F32(int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySparse_S32(int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySparseSubpixel_F32(int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySparseSubpixel_S32(int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySubpixel_F32(int, int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectDisparitySubpixel_S32(int, int, double) - Static method in class boofcv.factory.feature.disparity.FactoryStereoDisparityAlgs
selectFarthest(List<Point2D_I32>) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Computes the distance between pairs of points which are separated by 1/2 the contour list.
selectMerge(int, FastQueue<float[]>) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions: Examine edges for the specified node and select node which it is the best match for it to merge with
SelectNBestFeatures - Class in boofcv.alg.feature.detect.extract: Selects and sorts up to the N best features based on their intensity.
SelectNBestFeatures(int) - Constructor for class boofcv.alg.feature.detect.extract.SelectNBestFeatures
SelectRectBasicWta<Array,Disparity extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Selects the optimal disparity given a set of scores using a Winner Take All (WTA) strategy without any validation.
SelectRectBasicWta() - Constructor for class boofcv.alg.feature.disparity.SelectRectBasicWta
SelectRectStandard<Array,T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.alg.feature.disparity: Selects the disparity with the smallest error, which is known as the winner takes all (WTA) strategy.
SelectRectStandard(int, int, double) - Constructor for class boofcv.alg.feature.disparity.SelectRectStandard: Configures tolerances
SelectRectSubpixel - Class in boofcv.alg.feature.disparity.impl: Implementation of ImplSelectRectStandardBase_S32 that adds sub-pixel accuracy.
SelectRectSubpixel() - Constructor for class boofcv.alg.feature.disparity.impl.SelectRectSubpixel
SelectRectSubpixel.F32_F32 - Class in boofcv.alg.feature.disparity.impl: For scores of type float[]
SelectRectSubpixel.F32_F32(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.F32_F32
SelectRectSubpixel.S32_F32 - Class in boofcv.alg.feature.disparity.impl: For scores of type int[]
SelectRectSubpixel.S32_F32(int, int, double) - Constructor for class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.S32_F32
SelectSparseStandardSubpixel - Class in boofcv.alg.feature.disparity.impl: Subpixel accuracy for disparity.
SelectSparseStandardSubpixel() - Constructor for class boofcv.alg.feature.disparity.impl.SelectSparseStandardSubpixel
SelectSparseStandardSubpixel.F32 - Class in boofcv.alg.feature.disparity.impl
SelectSparseStandardSubpixel.F32(int, double) - Constructor for class boofcv.alg.feature.disparity.impl.SelectSparseStandardSubpixel.F32
SelectSparseStandardSubpixel.S32 - Class in boofcv.alg.feature.disparity.impl
SelectSparseStandardSubpixel.S32(int, double) - Constructor for class boofcv.alg.feature.disparity.impl.SelectSparseStandardSubpixel.S32
SelectSparseStandardWta<ArrayType> - Class in boofcv.alg.feature.disparity: Selects the disparity the smallest error and optionally applies several different types of validation to remove false positives.
SelectSparseStandardWta(int, double) - Constructor for class boofcv.alg.feature.disparity.SelectSparseStandardWta
selectSplitOffset(int, int) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Finds the point between indexStart and the end point which is the greater distance from the line (set up prior to calling).
selectSplitOffset(int, int) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitSegment: Finds the point between indexStart and the end point which is the greater distance from the line (set up prior to calling).
set(AssociatedIndex) - Method in class boofcv.struct.feature.AssociatedIndex
set(double, double, double) - Method in class boofcv.struct.feature.ScalePoint
set(double, double, double, boolean) - Method in class boofcv.struct.feature.ScalePoint
set(ScalePoint) - Method in class boofcv.struct.feature.ScalePoint
set(float...) - Method in class boofcv.struct.feature.TupleDesc_F32
set(double...) - Method in class boofcv.struct.feature.TupleDesc_F64
set(TupleDesc_F64) - Method in class boofcv.struct.feature.TupleDesc_F64
set(byte...) - Method in class boofcv.struct.feature.TupleDesc_I8
set(ImageFlow.D) - Method in class boofcv.struct.flow.ImageFlow.D
set(float, float) - Method in class boofcv.struct.flow.ImageFlow.D
setActiveSource(Point2D_F64) - Method in class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
setActiveSource(Point2D_F64) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
setAllowedBounds(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker: Precompute image bounds that the feature is allowed inside of
setAssociation(int, int, double) - Method in class boofcv.struct.feature.AssociatedIndex
setBorder(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
setBorder(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
setBorder(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
setColor(float[], int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Sets the cluster's to the pixel color at that location
setColor(float[], int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_F32
setColor(float[], int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsF32
setColor(float[], int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_MsU8
setColor(float[], int, int) - Method in class boofcv.alg.segmentation.slic.SegmentSlic_U8
setCookie(Object) - Method in class boofcv.alg.tracker.combined.CombinedTrack
setCookie(Object) - Method in class boofcv.alg.tracker.klt.PyramidKltFeature
setDescription(float, float, PyramidKltFeature) - Method in class boofcv.alg.tracker.combined.PyramidKltForCombined
setDescription(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker: Sets the features description using the current image and the location of the feature stored in the feature.
setDescription(PyramidKltFeature) - Method in class boofcv.alg.tracker.klt.PyramidKltTracker: Sets the feature's description up.
setDestination(FastQueue<Desc>) - Method in interface boofcv.abst.feature.associate.AssociateDescription: Sets the list of destination features NOTE: A reference to the input list might be saved internally until the next call to this function.
setDestination(FastQueue<Point2D_F64>, FastQueue<Desc>) - Method in interface boofcv.abst.feature.associate.AssociateDescription2D: Provide the location and descriptions for destination features.
setDestination(FastQueue<Point2D_F64>, FastQueue<D>) - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
setDestination(FastQueue<D>) - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
setDestination(FastQueue<Desc>) - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe
setDestination(FastQueue<Point2D_F64>, FastQueue<Desc>) - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe2D
setDestination(FastQueue<T>) - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
setDestination(FastQueue<SurfFeature>) - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
setDestination(FastQueue<Point2D_F64>, FastQueue<D>) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
setDisparity(int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_F32_U8
setDisparity(int, int) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandard_S32_U8
setDisparity(int, int) - Method in class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.F32_F32
setDisparity(int, int) - Method in class boofcv.alg.feature.disparity.impl.SelectRectSubpixel.S32_F32
setDisparity(int, int) - Method in class boofcv.alg.feature.disparity.SelectRectStandard: Sets the output to the specified disparity value.
setDst(FastQueue<SurfFeature>) - Method in class boofcv.alg.feature.associate.AssociateSurfBasic
setExcludeMaximum(QueueCorner) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Specify points which are excluded when detecting maximums
setExcludeMinimum(QueueCorner) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Specify points which are excluded when detecting maximums
setIgnoreBorder(int) - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Pixels which are within 'border' of the image border will not be considered.
setIgnoreBorder(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
setIgnoreBorder(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
setIgnoreBorder(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
setImage(T) - Method in interface boofcv.abst.feature.describe.DescribeRegionPoint: Specified the image which is to be processed.
setImage(T) - Method in class boofcv.abst.feature.describe.DescribeRegionPointConvert
setImage(MultiSpectral<T>) - Method in class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
setImage(T) - Method in class boofcv.abst.feature.describe.WrapDescribeBrief
setImage(T) - Method in class boofcv.abst.feature.describe.WrapDescribeBriefSo
setImage(T) - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegion
setImage(T) - Method in class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
setImage(ImageFloat32) - Method in class boofcv.abst.feature.describe.WrapDescribeSift
setImage(T) - Method in class boofcv.abst.feature.describe.WrapDescribeSurf
setImage(T) - Method in class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
setImage(T) - Method in interface boofcv.abst.feature.detect.peak.SearchLocalPeak: Specifies the image which is to be searched
setImage(D, D) - Method in interface boofcv.abst.feature.orientation.OrientationGradient: Specifies input image data for estimating orientation.
setImage(T) - Method in class boofcv.abst.feature.orientation.OrientationGradientToImage
setImage(T) - Method in interface boofcv.abst.feature.orientation.OrientationImage: Specifies input image data for estimating orientation.
setImage(II) - Method in interface boofcv.abst.feature.orientation.OrientationIntegral: Specifies input image data for estimating orientation.
setImage(T) - Method in class boofcv.abst.feature.orientation.OrientationIntegralToImage
setImage(ImageFloat32) - Method in class boofcv.abst.feature.orientation.OrientationSiftToImage
setImage(MultiSpectral<T>) - Method in class boofcv.alg.feature.describe.DescribeMultiSpectral
setImage(T) - Method in class boofcv.alg.feature.describe.DescribePointBinaryCompare: Specifies the image from which feature descriptions are to be created.
setImage(T) - Method in class boofcv.alg.feature.describe.DescribePointBrief: Specifies the image from which feature descriptions are to be created.
setImage(T) - Method in class boofcv.alg.feature.describe.DescribePointBriefSO
setImage(T) - Method in class boofcv.alg.feature.describe.DescribePointRectangleRegion
setImage(II) - Method in class boofcv.alg.feature.describe.DescribePointSurf
setImage(II, MultiSpectral<II>) - Method in class boofcv.alg.feature.describe.DescribePointSurfMultiSpectral
setImage(T, int[]) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper
setImage(ImageFloat32, int[]) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
setImage(ImageUInt8, int[]) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
setImage(T) - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak: Specifies the input image
setImage(T) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
setImage(D, D) - Method in class boofcv.alg.feature.orientation.OrientationAverage
setImage(D, D) - Method in class boofcv.alg.feature.orientation.OrientationHistogram
setImage(T) - Method in class boofcv.alg.feature.orientation.OrientationImageAverage
setImage(II) - Method in class boofcv.alg.feature.orientation.OrientationIntegralBase
setImage(D, D) - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow
setImage(InputImage, DerivativeImage, DerivativeImage) - Method in class boofcv.alg.tracker.klt.KltTracker: Sets the current image it should be tracking with.
setImage(ImagePyramid<InputImage>, DerivativeImage[], DerivativeImage[]) - Method in class boofcv.alg.tracker.klt.PyramidKltTracker: Sets the current input images for the tracker to use.
setImage(ImagePyramid<InputImage>) - Method in class boofcv.alg.tracker.klt.PyramidKltTracker: Only sets the image pyramid.
setImages(Image, Image) - Method in interface boofcv.abst.feature.disparity.StereoDisparitySparse: Sets the input images that are to be processed.
setImages(T, T) - Method in class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
setImages(Input, Input) - Method in class boofcv.alg.feature.disparity.DisparitySparseScoreSadRect: Specify inputs for left and right camera images.
setImageShape(int, int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32
setImageShape(int, int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16
setImageShape(int, int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
setImageType(ImageType<T>) - Method in class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
setInputs(ImagePyramid, D[], D[]) - Method in class boofcv.alg.tracker.combined.PyramidKltForCombined
setInputs(InputImage, DerivativeImage, DerivativeImage) - Method in interface boofcv.alg.tracker.klt.KltFeatureSelector: Sets the current image and image derivatives
setKappa(float) - Method in interface boofcv.alg.feature.detect.intensity.HarrisCornerIntensity: Sets the tuning parameter.
setKappa(float) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_F32
setKappa(float) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCorner_S16
setKappa(float) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_F32
setKappa(float) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplHarrisCornerWeighted_S16
setLocalMax(int) - Method in class boofcv.alg.feature.disparity.SelectRectStandard: For debugging purposes only
setMaxDistance(double) - Method in interface boofcv.alg.feature.associate.AssociateMaxDistance
setMaxDistance(double) - Method in class boofcv.alg.feature.associate.AssociateMaxDistanceNaive
setMaxDistance(double) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
setMaxFeatures(int) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Turns on select best features and sets the number it should return.
setMaxFitError(double) - Method in class boofcv.alg.feature.associate.AssociateGreedy
setMinimumSeparation(int) - Method in class boofcv.alg.feature.detect.template.TemplateMatching: Adjust how close to objects can be found to each other
setMinimumSize(int) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions
setModel(LinePolar2D_F32) - Method in class boofcv.alg.feature.detect.line.gridline.GridLineModelDistance
setN(int) - Method in class boofcv.alg.feature.detect.extract.SelectNBestFeatures
setNumIterations(int) - Method in class boofcv.alg.flow.HornSchunck: changes the maximum number of iterations
setPosition(float, float) - Method in class boofcv.alg.tracker.klt.KltFeature
setPosition(float, float) - Method in class boofcv.alg.tracker.klt.PyramidKltFeature
setRadius(int) - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak
setRadius(int) - Method in class boofcv.alg.feature.orientation.OrientationAverage
setRadius(int) - Method in class boofcv.alg.feature.orientation.OrientationHistogram: Specify the size of the region that is considered.
setRadius(int) - Method in class boofcv.alg.feature.orientation.OrientationImageAverage
setRadius(int) - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow: Specify the size of the region that is considered.
setRegion(float, float) - Method in class boofcv.alg.feature.detect.peak.MeanShiftPeak: Updates the location of the rectangular bounding box
sets - Variable in class boofcv.abst.feature.detect.interest.GeneralToInterestMulti
setScale(double) - Method in class boofcv.abst.feature.detect.interest.GeneralToInterestPoint
setScale(double) - Method in class boofcv.abst.feature.orientation.OrientationGradientToImage
setScale(double) - Method in class boofcv.abst.feature.orientation.OrientationIntegralToImage
setScale(double) - Method in class boofcv.abst.feature.orientation.OrientationSiftToImage
setScale(double) - Method in interface boofcv.abst.feature.orientation.RegionOrientation: Specifies scale at which the orientation is estimated.
setScale(double) - Method in class boofcv.alg.feature.orientation.impl.ImplOrientationImageAverageIntegral
setScale(double) - Method in class boofcv.alg.feature.orientation.OrientationAverage
setScale(double) - Method in class boofcv.alg.feature.orientation.OrientationHistogram
setScale(double) - Method in class boofcv.alg.feature.orientation.OrientationImageAverage
setScale(double) - Method in class boofcv.alg.feature.orientation.OrientationIntegralBase
setScale(double) - Method in class boofcv.alg.feature.orientation.OrientationSlidingWindow
setScale(double) - Method in class boofcv.struct.feature.ScalePoint
setScaleSpace(SiftImageScaleSpace) - Method in class boofcv.alg.feature.describe.DescribePointSift
setScaleSpace(SiftImageScaleSpace) - Method in class boofcv.alg.feature.orientation.OrientationHistogramSift: Specify the input
setSearchRadius(int) - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Species the search radius for the feature
setSearchRadius(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
setSearchRadius(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
setSearchRadius(int) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
setSearchRadius(int) - Method in class boofcv.abst.feature.detect.peak.MeanShiftPeak_to_SearchLocalPeak
setSearchRadius(int) - Method in interface boofcv.abst.feature.detect.peak.SearchLocalPeak: How far around the center it consider when searching for the peak
setSearchRadius(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
setSearchRadius(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlockRelaxed
setSearchRadius(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
setSearchRadius(int) - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
setSearchRadius(int) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Species the search radius for the feature
setSource(FastQueue<Desc>) - Method in interface boofcv.abst.feature.associate.AssociateDescription: Sets the list of source features.
setSource(FastQueue<Point2D_F64>, FastQueue<Desc>) - Method in interface boofcv.abst.feature.associate.AssociateDescription2D: Provide the location and descriptions for source features.
setSource(FastQueue<Point2D_F64>, FastQueue<D>) - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
setSource(FastQueue<D>) - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
setSource(FastQueue<Desc>) - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe
setSource(FastQueue<Point2D_F64>, FastQueue<Desc>) - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore.Describe2D
setSource(FastQueue<T>) - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
setSource(FastQueue<SurfFeature>) - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
setSource(FastQueue<Point2D_F64>, FastQueue<D>) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
setSrc(FastQueue<SurfFeature>) - Method in class boofcv.alg.feature.associate.AssociateSurfBasic
setTemplate(T, int) - Method in class boofcv.alg.feature.detect.template.TemplateMatching: Specifies the template to search for and the maximum number of matches to return.
setTexture(double) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_F32
setTexture(double) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
setTexture(double) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_F32
setTexture(double) - Method in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32
setTexture(double) - Method in class boofcv.alg.feature.disparity.SelectRectStandard
setTexture(double) - Method in class boofcv.alg.feature.disparity.SelectSparseStandardWta: Sets the texture threshold.
setThreshold(double) - Method in interface boofcv.abst.feature.associate.Associate: Associations are only considered if their score is less than or equal to the specified threshold.
setThreshold(double) - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
setThreshold(double) - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
setThreshold(double) - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
setThreshold(double) - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
setThreshold(double) - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
setThreshold(double) - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
setThreshold(float) - Method in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
setThreshold(float) - Method in class boofcv.alg.feature.detect.extract.ThresholdCornerExtractor
setThreshold(float) - Method in class boofcv.alg.feature.detect.interest.GeneralFeatureDetector: Changes feature extraction threshold.
setThresholdMax(float) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
setThresholdMax(float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
setThresholdMaximum(float) - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Change the feature selection threshold for finding local maximums.
setThresholdMaximum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
setThresholdMaximum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
setThresholdMaximum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
setThresholdMin(float) - Method in class boofcv.alg.feature.detect.extract.NonMaxBlock
setThresholdMin(float) - Method in class boofcv.alg.feature.detect.extract.NonMaxCandidate
setThresholdMinimum(float) - Method in interface boofcv.abst.feature.detect.extract.NonMaxSuppression: Change the feature selection threshold for finding local minimums.
setThresholdMinimum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
setThresholdMinimum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
setThresholdMinimum(float) - Method in class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
setThresholds(int) - Method in interface boofcv.alg.feature.detect.intensity.impl.FastHelper: Sets the lower and upper thresholds relative to the current pixel value
setThresholds(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_F32
setThresholds(int) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplFastHelper_U8
setTo(ConfigExtract) - Method in class boofcv.abst.feature.detect.extract.ConfigExtract
setTo(TupleDesc_F64) - Method in class boofcv.struct.feature.NccFeature
setTo(TupleDesc_F64) - Method in class boofcv.struct.feature.SurfFeature
setTo(T) - Method in interface boofcv.struct.feature.TupleDesc
setTo(TupleDesc_B) - Method in class boofcv.struct.feature.TupleDesc_B
setTo(TupleDesc_F32) - Method in class boofcv.struct.feature.TupleDesc_F32
setTo(TupleDesc_F64) - Method in class boofcv.struct.feature.TupleDesc_F64
setTo(TD) - Method in class boofcv.struct.feature.TupleDesc_I8
setTo(ImageFlow) - Method in class boofcv.struct.flow.ImageFlow
setToRootNodeNewID(GrowQueue_I32) - Method in class boofcv.alg.segmentation.ms.RegionMergeTree: Does much of the work needed to remove the redundant segments that are being merged into their root node.
setUpEdges(ImageSInt32, ImageSInt32) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage: Declares lookup tables for neighbors
setUpEdges4(ImageSInt32, int[]) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage
setUpEdges8(ImageSInt32, int[]) - Method in class boofcv.alg.segmentation.ms.ClusterLabeledImage
setupPruneList(GrowQueue_I32) - Method in class boofcv.alg.segmentation.ms.MergeSmallRegions: Identifies which regions are to be pruned based on their member counts.
setupTemplate(ImageFloat32) - Method in class boofcv.alg.feature.detect.template.TemplateNCC.F32
setupTemplate(T) - Method in class boofcv.alg.feature.detect.template.TemplateNCC: Precompute statistical information on the template
setupTemplate(ImageUInt8) - Method in class boofcv.alg.feature.detect.template.TemplateNCC.U8
setValue(float[]) - Method in class boofcv.struct.feature.TupleDesc_F32
setValue(double[]) - Method in class boofcv.struct.feature.TupleDesc_F64
setValue(byte[]) - Method in class boofcv.struct.feature.TupleDesc_I8
setWhite(boolean) - Method in class boofcv.struct.feature.ScalePoint
shape - Variable in class boofcv.alg.feature.shapes.FitData: Description of the shape
ShapeFittingOps - Class in boofcv.alg.feature.shapes: Functions for fitting shapes to sequences of points.
ShapeFittingOps() - Constructor for class boofcv.alg.feature.shapes.ShapeFittingOps
shiTomasi(int, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPoint: Feature intensity for KLT corner detector.
shiTomasi(int, boolean, Class<D>) - Static method in class boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg: Common interface for creating a ShiTomasiCornerIntensity from different image types.
ShiTomasiCornerIntensity<T extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.alg.feature.detect.intensity: This corner detector is designed to select the best features for tracking inside of a Kanade-Lucas-Tomasi (KLT) feature tracker [1].
sift(ConfigSiftDescribe) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
sift(ConfigSiftScaleSpace, ConfigSiftDescribe) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a standard SIFT region descriptor.
sift(ConfigSiftScaleSpace, ConfigSiftDetector, ConfigSiftOrientation, ConfigSiftDescribe) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Creates a new SIFT feature detector and describer.
sift(ConfigSiftOrientation) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs: Estimates multiple orientations as specified in SIFT paper.
SiftDetector - Class in boofcv.alg.feature.detect.interest: Feature detector described in the Scale Invariant Feature Transform (SIFT) paper [1].
SiftDetector(NonMaxSuppression, int, double) - Constructor for class boofcv.alg.feature.detect.interest.SiftDetector: Configures SIFT
siftDetector(ConfigSiftScaleSpace, ConfigSiftDetector) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPoint: Creates a SIFT feature detector.
siftDetector(ConfigSiftDetector) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPointAlgs: Creates a SIFT feature detector.
SiftImageScaleSpace - Class in boofcv.alg.feature.detect.interest: Constructs the scale-space in which SIFT detects features.
SiftImageScaleSpace(float, int, int, boolean) - Constructor for class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Configures the scale-space.
sigma - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
sigma - Variable in class boofcv.struct.feature.NccFeature: standard deviation of pixel intensity
sigmaEnlarge - Variable in class boofcv.abst.feature.orientation.ConfigSiftOrientation: How much the scale is enlarged by.
sigmaLargeGrid - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe.Stability: Sigma used to weight points in the sub-region grid.
sigmaSubRegion - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe.Stability: Sigma used to weight points in the large grid.
sigmaToRadius - Variable in class boofcv.abst.feature.describe.ConfigSiftDescribe: Conversation from scale space to pixels.
sigmaToRadius - Variable in class boofcv.abst.feature.orientation.ConfigSiftOrientation: Convert a sigma to region radius.
size() - Method in interface boofcv.struct.feature.TupleDesc: Number of elements in the tuple.
size() - Method in class boofcv.struct.feature.TupleDesc_B
size() - Method in class boofcv.struct.feature.TupleDesc_F32
size() - Method in class boofcv.struct.feature.TupleDesc_F64
size() - Method in class boofcv.struct.feature.TupleDesc_I8
slic(ConfigSlic, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactoryImageSegmentation
slic(ConfigSlic, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg
Slic_to_ImageSuperpixels<T extends boofcv.struct.image.ImageBase> - Class in boofcv.abst.segmentation: Wrapper around SegmentSlic for ImageSuperpixels.
Slic_to_ImageSuperpixels(SegmentSlic<T>) - Constructor for class boofcv.abst.segmentation.Slic_to_ImageSuperpixels
sliding(int, double, int, boolean, Class<T>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs
sliding_ii(ConfigSlidingIntegral, Class<II>) - Static method in class boofcv.factory.feature.orientation.FactoryOrientationAlgs: Estimates the orientation of a region by using a sliding window across the different potential angles.
SOR_RELAXATION - Variable in class boofcv.alg.flow.ConfigBroxWarping: SOR relaxation parameter.
SOR_RELAXATION - Variable in class boofcv.factory.flow.ConfigHornSchunckPyramid: SOR relaxation parameter.
sortPixels(ImageUInt8) - Method in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991: Very fast histogram based sorting.
spaceIndex - Variable in class boofcv.alg.feature.detect.interest.FeatureLaplacePyramid
spaceIndex - Variable in class boofcv.alg.feature.detect.interest.FeaturePyramid
spacialRadius - Variable in class boofcv.factory.segmentation.ConfigSegmentMeanShift: Radius of mean-shift region in pixels.
spacialTable - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
spacialWeight - Variable in class boofcv.factory.segmentation.ConfigSlic: Larger values place more weight on the spacial component.
spawnTracksFromDetected() - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: From the found interest points create new tracks.
SplitMergeLineFit - Class in boofcv.alg.feature.shapes: Base class for algorithm which employ a split and merge strategy to fitting a set of line segments onto an ordered set of points.
SplitMergeLineFit(double, double, int) - Constructor for class boofcv.alg.feature.shapes.SplitMergeLineFit
SplitMergeLineFitLoop - Class in boofcv.alg.feature.shapes: Implementation of SplitMergeLineFit for looped lists of points.
SplitMergeLineFitLoop(double, double, int) - Constructor for class boofcv.alg.feature.shapes.SplitMergeLineFitLoop
SplitMergeLineFitSegment - Class in boofcv.alg.feature.shapes: Implementation of SplitMergeLineFit for lists in which the end points are not connected.
SplitMergeLineFitSegment(double, double, int) - Constructor for class boofcv.alg.feature.shapes.SplitMergeLineFitSegment
splitPixels(int, int) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Recursively splits pixels between indexStart to indexStart+length.
splitPixels(int, int) - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitSegment: Recursively splits pixels.
splits - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
splitSegments() - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitLoop: Splits a line in two if there is a paint that is too far away
splitSegments() - Method in class boofcv.alg.feature.shapes.SplitMergeLineFitSegment: Splits a line in two if there is a paint that is too far away
src - Variable in class boofcv.struct.feature.AssociatedIndex: index of the feature in the source image
ss - Variable in class boofcv.alg.feature.detdesc.DetectDescribeSift
ss - Variable in class boofcv.alg.feature.detect.interest.SiftDetector
standardPyramid(int, int, double, double, int, int, Class<T>) - Static method in class boofcv.alg.flow.UtilDenseOpticalFlow: Create a standard image pyramid used by dense optical flow parameters.
StereoDisparity<Image extends boofcv.struct.image.ImageSingleBand,Disparity extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.disparity: Given two rectified images compute the corresponding dense disparity image.
StereoDisparitySparse<Image extends boofcv.struct.image.ImageSingleBand> - Interface in boofcv.abst.feature.disparity: Computes the disparity between two rectified images at specified points only.
StereoDisparityWtoNaive - Class in boofcv.alg.feature.disparity.impl: Very basic algorithm for testing stereo disparity algorithms for correctness and employs a "winner takes all" strategy for selecting the solution.
StereoDisparityWtoNaive(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaive: Configure parameters
StereoDisparityWtoNaiveFive - Class in boofcv.alg.feature.disparity.impl: Naive version of DisparityScoreWindowFive.
StereoDisparityWtoNaiveFive(int, int, int, int) - Constructor for class boofcv.alg.feature.disparity.impl.StereoDisparityWtoNaiveFive: Configure parameters
storage - Variable in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace
subimage - Variable in class boofcv.alg.tracker.klt.KltTracker
sumColor - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
sumColor(float[], float[], float) - Static method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearchColor
sumDerivX - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
sumDerivY - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
suppressed - Variable in class boofcv.alg.feature.detect.edge.CannyEdge
surfColor(DescribePointSurf<T>, int) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
surfColorFast(ConfigSurfDescribe.Speed, ImageType<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Color variant of the SURF descriptor which has been designed for speed and sacrifices some stability.
surfColorFast(ConfigFastHessian, ConfigSurfDescribe.Speed, ConfigAverageIntegral, ImageType<T>) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Color version of SURF stable.
surfColorStable(ConfigSurfDescribe.Stability, ImageType<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Color variant of the SURF descriptor which has been designed for stability.
surfColorStable(ConfigFastHessian, ConfigSurfDescribe.Stability, ConfigSlidingIntegral, ImageType<T>) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Color version of SURF stable feature.
SurfDescribeOps - Class in boofcv.alg.feature.describe: Operations related to computing SURF descriptors.
SurfDescribeOps() - Constructor for class boofcv.alg.feature.describe.SurfDescribeOps
surfFast(ConfigSurfDescribe.Speed, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a SURF descriptor.
surfFast(ConfigFastHessian, ConfigSurfDescribe.Speed, ConfigAverageIntegral, Class<T>) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Creates a SURF descriptor.
SurfFeature - Class in boofcv.struct.feature: Description of a SURF interest point.
SurfFeature(int) - Constructor for class boofcv.struct.feature.SurfFeature
SurfFeature() - Constructor for class boofcv.struct.feature.SurfFeature
SurfFeatureQueue - Class in boofcv.struct.feature: FastQueue for SurfFeature.
SurfFeatureQueue(int) - Constructor for class boofcv.struct.feature.SurfFeatureQueue
SurfMultiSpectral_to_DescribeRegionPoint<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.describe: Wrapper around DescribePointSurfMultiSpectral for DescribeRegionPoint
SurfMultiSpectral_to_DescribeRegionPoint(DescribePointSurfMultiSpectral<II>, Class<T>, Class<II>) - Constructor for class boofcv.abst.feature.describe.SurfMultiSpectral_to_DescribeRegionPoint
SurfMultiSpectral_to_DetectDescribePoint<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detdesc: Wrapper around DetectDescribeSurfMultiSpectral for DetectDescribePoint.
SurfMultiSpectral_to_DetectDescribePoint(DetectDescribeSurfMultiSpectral<II>, Class<T>, Class<II>) - Constructor for class boofcv.abst.feature.detdesc.SurfMultiSpectral_to_DetectDescribePoint
surfSpeed(ConfigSurfDescribe.Speed, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
surfStability(ConfigSurfDescribe.Stability, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribePointAlgs
surfStable(ConfigSurfDescribe.Stability, Class<T>) - Static method in class boofcv.factory.feature.describe.FactoryDescribeRegionPoint: Creates a SURF descriptor.
surfStable(ConfigFastHessian, ConfigSurfDescribe.Stability, ConfigSlidingIntegral, Class<T>) - Static method in class boofcv.factory.feature.detdesc.FactoryDetectDescribe: Creates a SURF descriptor.
swapLists() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic: Swaps the source and dest feature list.

T

template - Variable in class boofcv.alg.feature.detect.template.BaseTemplateIntensity
template - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
TemplateDiffSquared<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.feature.detect.template: Scores the difference between the template and the image using difference squared error.
TemplateDiffSquared() - Constructor for class boofcv.alg.feature.detect.template.TemplateDiffSquared
TemplateDiffSquared.F32 - Class in boofcv.alg.feature.detect.template
TemplateDiffSquared.F32() - Constructor for class boofcv.alg.feature.detect.template.TemplateDiffSquared.F32
TemplateDiffSquared.U8 - Class in boofcv.alg.feature.detect.template
TemplateDiffSquared.U8() - Constructor for class boofcv.alg.feature.detect.template.TemplateDiffSquared.U8
TemplateMatching<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.feature.detect.template: Runs a template matching algorithm across the image.
TemplateMatching(TemplateMatchingIntensity<T>) - Constructor for class boofcv.alg.feature.detect.template.TemplateMatching: Specifies internal algorithm
TemplateMatchingIntensity<T extends boofcv.struct.image.ImageBase> - Interface in boofcv.alg.feature.detect.template: Moves an image template over the image and for each pixel computes a metric for how similar that region is to template.
TemplateNCC<T extends boofcv.struct.image.ImageBase> - Class in boofcv.alg.feature.detect.template: Template matching which uses normalized cross correlation (NCC).
TemplateNCC() - Constructor for class boofcv.alg.feature.detect.template.TemplateNCC
TemplateNCC.F32 - Class in boofcv.alg.feature.detect.template
TemplateNCC.F32() - Constructor for class boofcv.alg.feature.detect.template.TemplateNCC.F32
TemplateNCC.U8 - Class in boofcv.alg.feature.detect.template
TemplateNCC.U8() - Constructor for class boofcv.alg.feature.detect.template.TemplateNCC.U8
templateRadius - Variable in class boofcv.alg.tracker.klt.PkltConfig: The radius of a feature descriptor in layer.
TemplateScoreType - Enum in boofcv.factory.feature.detect.template: List of formulas used to score matches in a template.
textureThreshold - Variable in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_F32
textureThreshold - Variable in class boofcv.alg.feature.disparity.impl.ImplSelectRectStandardBase_S32
textureThreshold - Variable in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_F32
textureThreshold - Variable in class boofcv.alg.feature.disparity.impl.ImplSelectSparseStandardWta_S32
theta - Variable in class boofcv.alg.feature.detect.line.gridline.Edgel
thresh - Variable in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
threshold - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: Minimum feature intensity it will consider when detecting a maximum.
threshold - Variable in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04
ThresholdCornerExtractor - Class in boofcv.alg.feature.detect.extract: All pixels which have an intensity above the specified threshold are considered to be features.
ThresholdCornerExtractor(float) - Constructor for class boofcv.alg.feature.detect.extract.ThresholdCornerExtractor
ThresholdCornerExtractor() - Constructor for class boofcv.alg.feature.detect.extract.ThresholdCornerExtractor
thresholdEdge - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Threshold for classifying pixels as edge or not.
thresholdEdge - Variable in class boofcv.factory.feature.detect.line.ConfigHoughPolar: Edge detection threshold.
thresholdMax - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
thresholdMax - Variable in class boofcv.alg.feature.detect.extract.NonMaxCandidate
thresholdMin - Variable in class boofcv.alg.feature.detect.extract.NonMaxBlock
thresholdMin - Variable in class boofcv.alg.feature.detect.extract.NonMaxCandidate
tmp - Variable in class boofcv.alg.flow.DenseOpticalFlowBlockPyramid
tmpMemberCount - Variable in class boofcv.alg.segmentation.ms.RegionMergeTree
toleranceMerge - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
toleranceSplitSq - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
toString() - Method in class boofcv.struct.feature.Match
totalDestination() - Method in class boofcv.alg.feature.associate.AssociateSurfBasic
totalHorizontalDivisions - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Number of sub-images in horizontal direction Try 2
totalIterations - Variable in class boofcv.factory.segmentation.ConfigSlic: Number of mean-shift iterations.
totalTracks - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
totalVerticalDivisions - Variable in class boofcv.factory.feature.detect.line.ConfigHoughFootSubimage: Number of sub images in vertical direction.
totalWeight - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
totalXX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32
totalXX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16
totalXX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
totalXX - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
totalXY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32
totalXY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16
totalXY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
totalXY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
totalYY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32
totalYY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16
totalYY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_F32
totalYY - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerWeighted_S16
trace(int, int, int) - Method in class boofcv.alg.feature.detect.edge.HysteresisEdgeTraceMark: Traces along object's contour starting at the specified seed.
trace(int, int, int) - Method in class boofcv.alg.feature.detect.edge.HysteresisEdgeTracePoints: Traces along object's contour starting at the specified seed.
trace(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.HessianBlobIntensity: Feature intensity using the trace of the Hessian matrix.
trace(ImageFloat32, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.HessianBlobIntensity: Feature intensity using the trace of the Hessian matrix.
trace(ImageFloat32, ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity
trace(ImageFloat32, ImageSInt16, ImageSInt16) - Static method in class boofcv.alg.feature.detect.intensity.impl.ImplHessianBlobIntensity
track - Variable in class boofcv.alg.tracker.combined.CombinedTrack
track(KltFeature) - Method in class boofcv.alg.tracker.klt.KltTracker: Updates the feature's location inside the image.
track(PyramidKltFeature) - Method in class boofcv.alg.tracker.klt.PyramidKltTracker: Finds the feature's new location in the image.
tracker - Variable in class boofcv.alg.tracker.combined.PyramidKltForCombined
tracker - Variable in class boofcv.alg.tracker.klt.PyramidKltTracker
trackerKlt - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
tracksDormant - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
tracksPureKlt - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
tracksReactivated - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
tracksSpawned - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
tracksUnused - Variable in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint
transform(D, D, ImageUInt8) - Method in class boofcv.alg.feature.detect.line.HoughTransformLineFootOfNorm: Computes the Hough transform using the image gradient and a binary image which flags pixels as being edges or not.
transform(ImageUInt8) - Method in class boofcv.alg.feature.detect.line.HoughTransformLinePolar: Computes the Hough transform of the image.
TupleDesc<T extends TupleDesc> - Interface in boofcv.struct.feature: Base class for tuple based feature descriptors
TupleDesc_B - Class in boofcv.struct.feature: Binary descriptor which is stored inside of an array of ints.
TupleDesc_B(int) - Constructor for class boofcv.struct.feature.TupleDesc_B
TupleDesc_B(int, int) - Constructor for class boofcv.struct.feature.TupleDesc_B
TupleDesc_F32 - Class in boofcv.struct.feature: Basic description of an image feature's attributes using an array.
TupleDesc_F32(int) - Constructor for class boofcv.struct.feature.TupleDesc_F32
TupleDesc_F32() - Constructor for class boofcv.struct.feature.TupleDesc_F32
TupleDesc_F64 - Class in boofcv.struct.feature: Basic description of an image feature's attributes using an array.
TupleDesc_F64(int) - Constructor for class boofcv.struct.feature.TupleDesc_F64
TupleDesc_F64() - Constructor for class boofcv.struct.feature.TupleDesc_F64
TupleDesc_I8<TD extends TupleDesc_I8> - Class in boofcv.struct.feature: Feature description storage in an array of bytes.
TupleDesc_I8(int) - Constructor for class boofcv.struct.feature.TupleDesc_I8
TupleDesc_S8 - Class in boofcv.struct.feature: Feature description storage in an array of signed bytes.
TupleDesc_S8(int) - Constructor for class boofcv.struct.feature.TupleDesc_S8
TupleDesc_U8 - Class in boofcv.struct.feature: Feature description storage in an array of unsigned bytes.
TupleDesc_U8(int) - Constructor for class boofcv.struct.feature.TupleDesc_U8

U

unassociated - Variable in class boofcv.abst.feature.associate.EnforceUniqueByScore
uniqueByScore - Variable in class boofcv.abst.feature.associate.EnforceUniqueByScore
uniqueDestination() - Method in interface boofcv.abst.feature.associate.Associate: If at most one match is returned for each destination feature.
uniqueDestination() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
uniqueDestination() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
uniqueDestination() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
uniqueDestination() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
uniqueDestination() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
uniqueDestination() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
uniqueSource() - Method in interface boofcv.abst.feature.associate.Associate: If at most one match is returned for each source feature.
uniqueSource() - Method in class boofcv.abst.feature.associate.AssociateDescTo2D
uniqueSource() - Method in class boofcv.abst.feature.associate.AssociateNearestNeighbor
uniqueSource() - Method in class boofcv.abst.feature.associate.EnforceUniqueByScore
uniqueSource() - Method in class boofcv.abst.feature.associate.WrapAssociateGreedy
uniqueSource() - Method in class boofcv.abst.feature.associate.WrapAssociateSurfBasic
uniqueSource() - Method in class boofcv.alg.feature.associate.BaseAssociateLocation2DFilter
unsafe_get(int, int) - Method in class boofcv.struct.flow.ImageFlow
unsafe_setImage(InputImage, DerivativeImage, DerivativeImage) - Method in class boofcv.alg.tracker.klt.KltTracker: Same as KltTracker.setImage(InputImage, DerivativeImage, DerivativeImage), but it doesn't check to see if the images are the same size each time
update() - Method in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
updateClusters() - Method in class boofcv.alg.segmentation.slic.SegmentSlic: Update the value of each cluster using Maximization step.
updateTracks(I, PyramidDiscrete, D[], D[]) - Method in class boofcv.alg.tracker.combined.CombinedTrackerScalePoint: Updates the location and description of tracks using KLT.
upSample(ImageFloat32, ImageFloat32) - Static method in class boofcv.alg.feature.detect.interest.SiftImageScaleSpace: Up-samples the input image.
useHaar - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe: If true the Haar wavelet will be used.
useStrictRule - Variable in class boofcv.abst.feature.detect.extract.ConfigExtract: Is a strict test used to test for local maximums.
useStrictRule - Variable in class boofcv.alg.feature.detect.extract.NonMaxExtractorNaive
UtilDenseOpticalFlow - Class in boofcv.alg.flow: Useful functions when computing dense optical flow
UtilDenseOpticalFlow() - Constructor for class boofcv.alg.flow.UtilDenseOpticalFlow
UtilDisparityScore - Class in boofcv.alg.feature.disparity.impl: Contains common functions for computing disparity scores.
UtilDisparityScore() - Constructor for class boofcv.alg.feature.disparity.impl.UtilDisparityScore
UtilFeature - Class in boofcv.alg.feature: Various utilities related to image features
UtilFeature() - Constructor for class boofcv.alg.feature.UtilFeature

V

value - Variable in class boofcv.numerics.InterpolateArray
value - Variable in class boofcv.struct.feature.TupleDesc_F32
value - Variable in class boofcv.struct.feature.TupleDesc_F64
value - Variable in class boofcv.struct.feature.TupleDesc_I8
valueOf(String) - Static method in enum boofcv.alg.feature.detect.intensity.HessianBlobIntensity.Type: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum boofcv.alg.tracker.klt.KltTrackFault: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum boofcv.factory.feature.detect.template.TemplateScoreType: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum boofcv.factory.feature.disparity.DisparityAlgorithms: Returns the enum constant of this type with the specified name.
values() - Static method in enum boofcv.alg.feature.detect.intensity.HessianBlobIntensity.Type: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum boofcv.alg.tracker.klt.KltTrackFault: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum boofcv.factory.feature.detect.template.TemplateScoreType: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum boofcv.factory.feature.disparity.DisparityAlgorithms: Returns an array containing the constants of this enum type, in the order they are declared.
vertical(ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_F32: Compute the derivative sum along the y-axis while taking advantage of duplicate calculations for each window and avoiding cache misses.
vertical(ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCorner_S16: Compute the derivative sum along the y-axis while taking advantage of duplicate calculations for each window and avoiding cache misses.
vertical(ImageFloat32) - Method in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase

W

warpDeriv2X - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpDeriv2X - Variable in class boofcv.alg.flow.HornSchunckPyramid
warpDeriv2XX - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpDeriv2XY - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpDeriv2Y - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpDeriv2Y - Variable in class boofcv.alg.flow.HornSchunckPyramid
warpDeriv2YY - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpImage2 - Variable in class boofcv.alg.flow.BroxWarpingSpacial
warpImage2 - Variable in class boofcv.alg.flow.HornSchunckPyramid
warpImageTaylor(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.DenseFlowPyramidBase: Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.
warpImageTaylor(ImageFloat32, ImageFloat32, ImageFloat32, ImageFloat32) - Method in class boofcv.alg.flow.HornSchunckPyramid: Takes the flow from the previous lower resolution layer and uses it to initialize the flow in the current layer.
watershed(ConfigWatershed, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactoryImageSegmentation: Creates an instance of WatershedVincentSoille1991.
watershed(ConnectRule) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg
Watershed_to_ImageSuperpixels<T extends boofcv.struct.image.ImageBase> - Class in boofcv.abst.segmentation: Wrapper around WatershedVincentSoille1991 for ImageSuperpixels.
Watershed_to_ImageSuperpixels(WatershedVincentSoille1991, int, ConnectRule) - Constructor for class boofcv.abst.segmentation.Watershed_to_ImageSuperpixels
WatershedVincentSoille1991 - Class in boofcv.alg.segmentation.watershed: Fast watershed based upon Vincient and Soille's 1991 paper [1].
WatershedVincentSoille1991() - Constructor for class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991
WatershedVincentSoille1991.Connect4 - Class in boofcv.alg.segmentation.watershed: Implementation which uses a 4-connect rule
WatershedVincentSoille1991.Connect4() - Constructor for class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect4
WatershedVincentSoille1991.Connect8 - Class in boofcv.alg.segmentation.watershed: Implementation which uses a 8-connect rule
WatershedVincentSoille1991.Connect8() - Constructor for class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991.Connect8
weight - Variable in class boofcv.alg.feature.describe.DescribePointSurf
weight() - Method in class boofcv.alg.segmentation.fh04.SegmentFelzenszwalbHuttenlocher04.Edge
weight(float) - Method in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch: Returns the weight given the normalized distance.
weights - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
weights - Variable in class boofcv.alg.feature.orientation.OrientationAverage
weights - Variable in class boofcv.alg.feature.orientation.OrientationHistogram
weights - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
weights - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
weightsFelzenszwalb04(ConnectRule, ImageType<T>) - Static method in class boofcv.factory.segmentation.FactorySegmentationAlg
weightSigma - Variable in class boofcv.abst.feature.describe.ConfigSiftDescribe: Adjusts descriptor element's weighting from center.
weightSigma - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe.Speed: Weighting factor's sigma.
weightSigma - Variable in class boofcv.abst.feature.orientation.ConfigAverageIntegral: Sigma for weighting.
weightSigma - Variable in class boofcv.abst.feature.orientation.ConfigSlidingIntegral: Sigma for weighting distribution.
weightTable - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
white - Variable in class boofcv.struct.feature.ScalePoint
width - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak
width - Variable in class boofcv.alg.feature.orientation.OrientationIntegralBase
width - Variable in class boofcv.struct.feature.MatrixOfList
width - Variable in class boofcv.struct.flow.ImageFlow
widthFeature - Variable in class boofcv.alg.tracker.klt.KltTracker
widthLargeGrid - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe: Number of sub-regions wide the large grid is.
widthLargeGrid - Variable in class boofcv.alg.feature.describe.DescribePointSurf
widthSample - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe: The width of a sample point.
widthSample - Variable in class boofcv.alg.feature.describe.DescribePointSurf
widthSubRegion - Variable in class boofcv.abst.feature.describe.ConfigSurfDescribe: Number of sample points wide a sub-region is.
widthSubRegion - Variable in class boofcv.alg.feature.describe.DescribePointSurf
widthX - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
widthY - Variable in class boofcv.alg.segmentation.ms.SegmentMeanShiftSearch
windowSize - Variable in class boofcv.abst.feature.orientation.ConfigSlidingIntegral: Angular window that is slide across.
windowSize - Variable in class boofcv.alg.feature.orientation.impl.ImplOrientationSlidingWindowIntegral
windowSize - Variable in class boofcv.alg.feature.orientation.OrientationSlidingWindow
work - Variable in class boofcv.alg.feature.shapes.SplitMergeLineFit
wrap(TupleDesc_F64, int) - Method in class boofcv.alg.feature.associate.AssociateSurfBasic.Helper
WrapAssociateGreedy<T> - Class in boofcv.abst.feature.associate: Wrapper around algorithms contained inside of AssociateGreedy.
WrapAssociateGreedy(AssociateGreedy<T>) - Constructor for class boofcv.abst.feature.associate.WrapAssociateGreedy
WrapAssociateSurfBasic - Class in boofcv.abst.feature.associate: Wrapper around AssociateSurfBasic for AssociateDescription.
WrapAssociateSurfBasic(AssociateSurfBasic) - Constructor for class boofcv.abst.feature.associate.WrapAssociateSurfBasic
WrapDescribeBrief<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.describe
WrapDescribeBrief(DescribePointBrief<T>, Class<T>) - Constructor for class boofcv.abst.feature.describe.WrapDescribeBrief
WrapDescribeBriefSo<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.describe
WrapDescribeBriefSo(DescribePointBriefSO<T>, Class<T>) - Constructor for class boofcv.abst.feature.describe.WrapDescribeBriefSo
WrapDescribePixelRegion<T extends boofcv.struct.image.ImageSingleBand,D extends TupleDesc> - Class in boofcv.abst.feature.describe: Wrapper around DescribePointPixelRegion for DescribeRegionPoint.
WrapDescribePixelRegion(DescribePointPixelRegion<T, D>, Class<T>) - Constructor for class boofcv.abst.feature.describe.WrapDescribePixelRegion
WrapDescribePixelRegionNCC<T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.describe: Wrapper around DescribePointPixelRegionNCC for DescribeRegionPoint.
WrapDescribePixelRegionNCC(DescribePointPixelRegionNCC<T>, Class<T>) - Constructor for class boofcv.abst.feature.describe.WrapDescribePixelRegionNCC
WrapDescribeSift - Class in boofcv.abst.feature.describe: Wrapper around DescribePointSift for DescribeRegionPoint.
WrapDescribeSift(DescribePointSift, SiftImageScaleSpace) - Constructor for class boofcv.abst.feature.describe.WrapDescribeSift
WrapDescribeSurf<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.describe
WrapDescribeSurf(DescribePointSurf<II>, Class<T>) - Constructor for class boofcv.abst.feature.describe.WrapDescribeSurf
WrapDetectDescribeSift - Class in boofcv.abst.feature.detdesc: Wrapper around DetectDescribeSift for DetectDescribePoint.
WrapDetectDescribeSift(DetectDescribeSift) - Constructor for class boofcv.abst.feature.detdesc.WrapDetectDescribeSift
WrapDetectDescribeSurf<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detdesc: Wrapper around SURF algorithms for DetectDescribePoint.
WrapDetectDescribeSurf(FastHessianFeatureDetector<II>, OrientationIntegral<II>, DescribePointSurf<II>) - Constructor for class boofcv.abst.feature.detdesc.WrapDetectDescribeSurf
wrapDetector(FeatureLaplacePyramid<T, D>, double[], boolean, Class<T>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPoint: Wraps FeatureLaplacePyramid inside an InterestPointDetector.
wrapDetector(FeaturePyramid<T, D>, double[], boolean, Class<T>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPoint: Wraps FeaturePyramid inside an InterestPointDetector.
WrapDisparitySadRect<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.disparity
WrapDisparitySadRect(DisparityScoreRowFormat<T, D>) - Constructor for class boofcv.abst.feature.disparity.WrapDisparitySadRect
WrapDisparitySparseSadRect<ArrayData,T extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.disparity
WrapDisparitySparseSadRect(DisparitySparseScoreSadRect<ArrayData, T>, DisparitySparseSelect<ArrayData>) - Constructor for class boofcv.abst.feature.disparity.WrapDisparitySparseSadRect
WrapFHtoInterestPoint<T extends boofcv.struct.image.ImageSingleBand,II extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Wrapper around FastHessianFeatureDetector for InterestPointDetector.
WrapFHtoInterestPoint(FastHessianFeatureDetector<II>) - Constructor for class boofcv.abst.feature.detect.interest.WrapFHtoInterestPoint
WrapFLPtoInterestPoint<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Wrapper around FeatureLaplacePyramid for InterestPointDetector.
WrapFLPtoInterestPoint(FeatureLaplacePyramid<T, D>, PyramidFloat<T>) - Constructor for class boofcv.abst.feature.detect.interest.WrapFLPtoInterestPoint
WrapFPtoInterestPoint<T extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> - Class in boofcv.abst.feature.detect.interest: Wrapper around FeaturePyramid for InterestPointDetector.
WrapFPtoInterestPoint(FeaturePyramid<T, D>, PyramidFloat<T>) - Constructor for class boofcv.abst.feature.detect.interest.WrapFPtoInterestPoint
WrapperFastCornerIntensity - Class in boofcv.abst.feature.detect.intensity: Wrapper around children of FastCornerIntensity.
WrapperFastCornerIntensity(FastCornerIntensity) - Constructor for class boofcv.abst.feature.detect.intensity.WrapperFastCornerIntensity
WrapperGradientCornerIntensity - Class in boofcv.abst.feature.detect.intensity: Wrapper around children of GradientCornerIntensity.
WrapperGradientCornerIntensity(GradientCornerIntensity<D>) - Constructor for class boofcv.abst.feature.detect.intensity.WrapperGradientCornerIntensity
WrapperHessianBlobIntensity - Class in boofcv.abst.feature.detect.intensity: Wrapper around HessianBlobIntensity for GeneralFeatureIntensity.
WrapperHessianBlobIntensity(HessianBlobIntensity.Type, Class<D>) - Constructor for class boofcv.abst.feature.detect.intensity.WrapperHessianBlobIntensity
WrapperKitRosCornerIntensity - Class in boofcv.abst.feature.detect.intensity: Wrapper around children of GradientCornerIntensity.
WrapperKitRosCornerIntensity(Class<D>) - Constructor for class boofcv.abst.feature.detect.intensity.WrapperKitRosCornerIntensity
WrapperLaplacianBlobIntensity - Class in boofcv.abst.feature.detect.intensity
WrapperLaplacianBlobIntensity() - Constructor for class boofcv.abst.feature.detect.intensity.WrapperLaplacianBlobIntensity
WrapperMedianCornerIntensity - Class in boofcv.abst.feature.detect.intensity: Wrapper around children of MedianCornerIntensity.
WrapperMedianCornerIntensity(MedianImageFilter, Class) - Constructor for class boofcv.abst.feature.detect.intensity.WrapperMedianCornerIntensity
WrapperNonMaxCandidate - Class in boofcv.abst.feature.detect.extract: Wrapper around the NonMaxCandidateStrict class.
WrapperNonMaxCandidate(NonMaxCandidate, boolean, boolean) - Constructor for class boofcv.abst.feature.detect.extract.WrapperNonMaxCandidate
WrapperNonMaximumBlock - Class in boofcv.abst.feature.detect.extract: Wrapper around the NonMaxExtractorNaive class.
WrapperNonMaximumBlock(NonMaxBlock) - Constructor for class boofcv.abst.feature.detect.extract.WrapperNonMaximumBlock
WrapperNonMaximumNaive - Class in boofcv.abst.feature.detect.extract: Wrapper around the NonMaxExtractorNaive class.
WrapperNonMaximumNaive(NonMaxExtractorNaive) - Constructor for class boofcv.abst.feature.detect.extract.WrapperNonMaximumNaive
wrapPoint(GeneralFeatureDetector<T, D>, double, Class<T>, Class<D>) - Static method in class boofcv.factory.feature.detect.interest.FactoryInterestPoint: Wraps GeneralFeatureDetector inside an InterestPointDetector.
WrapSiftDetector - Class in boofcv.abst.feature.detect.interest: Wrapper around SiftDetector for InterestPointDetector.
WrapSiftDetector(SiftDetector, SiftImageScaleSpace) - Constructor for class boofcv.abst.feature.detect.interest.WrapSiftDetector
WSHED - Static variable in class boofcv.alg.segmentation.watershed.WatershedVincentSoille1991

X

x - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
x - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
x - Variable in class boofcv.alg.tracker.klt.KltFeature: Feature's location inside the image in pixels
x - Variable in class boofcv.alg.tracker.klt.PyramidKltFeature: the feature's location in the original image
x - Variable in class boofcv.struct.flow.ImageFlow.D: Optical flow.
x0 - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak

Y

y - Variable in class boofcv.alg.feature.detect.intensity.impl.ImplSsdCornerBase
y - Variable in class boofcv.alg.segmentation.slic.SegmentSlic.Cluster
y - Variable in class boofcv.alg.tracker.klt.KltFeature: Feature's location inside the image in pixels
y - Variable in class boofcv.alg.tracker.klt.PyramidKltFeature: the feature's location in the original image
y - Variable in class boofcv.struct.flow.ImageFlow.D: Optical flow.
y0 - Variable in class boofcv.alg.feature.detect.peak.MeanShiftPeak

_

_process(Input, Input, Disparity) - Method in class boofcv.alg.feature.disparity.DisparityScoreRowFormat: Inner function that computes the disparity.
_process(ImageFloat32, ImageFloat32, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_F32
_process(ImageSInt16, ImageSInt16, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_S16
_process(ImageUInt8, ImageUInt8, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRect_U8
_process(ImageFloat32, ImageFloat32, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_F32
_process(ImageSInt16, ImageSInt16, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_S16
_process(ImageUInt8, ImageUInt8, Disparity) - Method in class boofcv.alg.feature.disparity.impl.ImplDisparityScoreSadRectFive_U8

A B C D E F G H I K L M N O P Q R S T U V W X Y _