Uses of Class
adams.data.image.features.AbstractBufferedImageFeatureGenerator

Packages that use AbstractBufferedImageFeatureGenerator

Package	Description
adams.data.image.features
adams.data.jai.features
adams.data.lire.features
adams.flow.transformer

Uses of AbstractBufferedImageFeatureGenerator in adams.data.image.features

Subclasses of AbstractBufferedImageFeatureGenerator in adams.data.image.features

Modifier and Type	Class	Description
class	AbstractCountColor	Ancestor for feature generators that count pixels based on color.
class	AbstractScript	Ancestor for BufferedImage feature generator scripts.
class	AbstractScriptedFeatureGenerator	Abstract ancestor for BufferedImage feature generator that execute external scripts.
class	Barcode	Decodes any barcode in the image.
class	BasicStatistics	Calculates min/max/mean/median/stdev for each channel (R,G,B).
class	ColorCounts	Counts the occurrences of colors in the image (alpha channel gets ignored).
class	CountColor	Counts the occurrences of a specific color (alpha channel gets ignored).
class	CountColorOutside
class	Dimensions	Outputs the dimensions of the image: width, height, area, ratio.
class	Eccentricity	Computes the eccentricity of the object.
class	Entropy	Calculates the Shannon entropy of an image. Original code taken from here: http://stackoverflow.com/a/22280200
class	FilteredBufferedImageFeatureGenerator	Applies the filter (an image transformer) to the image first before generating the features from the transformed images.
class	Histogram	Turns an image into a histogram. In case of an 8-bit histogram, the image must already be converted to a gray image. The number of bins per channel can be chosen as well (1-256).
class	HusMoments	Calculates Hu's moments.
class	Max	Simply outputs the RGB value of the brightest pixel.
class	Min	Simply outputs the RGB value of the darkest pixel.
class	Moment	Computes the specified moment.
class	MultiBufferedImageFeatureGenerator	Applies multiple generators to the same image and merges the generated a feature vectors side-by-side.
class	OrientationVector	Generates a vector that
class	PixelClassifications	Generates a feature vector for each pixel classification that is stored in the image's report. Pixel classifications are generated with the adams.flow.transformer.PixelSelector transformer, using the adams.flow.transformer.pixelselector.AddClassification action. Automatically adds the classification label associated with a classification position in the report as a separate attribute.
class	Pixels	Gets all the pixels of the image.
class	Scripted	A feature generator that uses any scripting handler for processing the data with a script located in the specified file.

Fields in adams.data.image.features declared as AbstractBufferedImageFeatureGenerator

Modifier and Type	Field	Description
protected AbstractBufferedImageFeatureGenerator	Scripted.m_FeatureGeneratorObject	the loaded script object.
protected AbstractBufferedImageFeatureGenerator	FilteredBufferedImageFeatureGenerator.m_Generator	the base feature generator.
protected AbstractBufferedImageFeatureGenerator[]	MultiBufferedImageFeatureGenerator.m_SubGenerators	the generators to use.

Methods in adams.data.image.features that return AbstractBufferedImageFeatureGenerator

Modifier and Type	Method	Description
AbstractBufferedImageFeatureGenerator	FilteredBufferedImageFeatureGenerator.getGenerator()	Returns the feature generator to use on the filtered data.
AbstractBufferedImageFeatureGenerator[]	MultiBufferedImageFeatureGenerator.getSubGenerators()	Returns the generators to use.

Methods in adams.data.image.features with parameters of type AbstractBufferedImageFeatureGenerator

Modifier and Type	Method	Description
void	FilteredBufferedImageFeatureGenerator.setGenerator(AbstractBufferedImageFeatureGenerator value)	Sets the feature generator to use on the filtered data.
void	MultiBufferedImageFeatureGenerator.setSubGenerators(AbstractBufferedImageFeatureGenerator[] value)	Sets the generators to use.

Uses of AbstractBufferedImageFeatureGenerator in adams.data.jai.features

Subclasses of AbstractBufferedImageFeatureGenerator in adams.data.jai.features

Modifier and Type	Class	Description
class	DFT	Performs discrete fourier transform (DFT).
class	Histogram	Turns an image into a histogram. In case of an 8-bit histogram, the image must already be converted to a gray image. The number of bins per channel can be chosen as well (1-256).

Uses of AbstractBufferedImageFeatureGenerator in adams.data.lire.features

Subclasses of AbstractBufferedImageFeatureGenerator in adams.data.lire.features

Modifier and Type	Class	Description
class	AutoColorCorrelogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.AutoColorCorrelogram. For more information on the LIRE project, see: http://www.lire-project.net/ For more information see: Huang, J.; Kumar, S.
class	BasicFeatures	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.BasicFeatures. For more information on the LIRE project, see: http://www.lire-project.net/
class	BinaryPatternsPyramid	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.BinaryPatternsPyramid. Works the same way as PHOG, but instead of measuring the orientation of gradients, this class uses a histogram of rotation-invariant local binary patterns. For more information on the LIRE project, see: http://www.lire-project.net/
class	CEDD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.CEDD. For more information, see: Savvas A.
class	ColorLayout	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.ColorLayout. For extracting & comparing MPEG-7 based CBIR descriptor ColorLayout. For more information on the LIRE project, see: http://www.lire-project.net/
class	EdgeHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.EdgeHistogram. Implements the EdgeHistogram descriptor from the MPEG-7 standard. For more information on the LIRE project, see: http://www.lire-project.net/
class	FCTH	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.FCTH. For more information, see: Savvas A.
class	FuzzyColorHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.FuzzyColorHistogram. For more information on the LIRE project, see: http://www.lire-project.net/
class	FuzzyOpponentHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.FuzzyOpponentHistogram. For more information, see: van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.
class	Gabor	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.Gabor. For more information on the LIRE project, see: http://www.lire-project.net/
class	JCD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.JCD. Joining CEDD and FCTH in one histogram. For more information on the LIRE project, see: http://www.lire-project.net/
class	JointHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.JointHistogram. For more information, see: Mathias Lux, Savvas A.
class	JpegCoefficientHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.JpegCoefficientHistogram. For more information on the LIRE project, see: http://www.lire-project.net/
class	LocalBinaryPatterns	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.LocalBinaryPatterns. For more information on the LIRE project, see: http://www.lire-project.net/
class	LocalBinaryPatternsAndOpponent	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.LocalBinaryPatternsAndOpponent. For more information, see: Mathias Lux, Savvas A.
class	LuminanceLayout	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.LuminanceLayout. Intended for grayscale or B/W images.
class	OpponentHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.OpponentHistogram. For more information, see: van de Sande, K.E.A., Gevers, T., Snoek, C.G.M.
class	PHOG	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.PHOG. For more information, see: Anna Bosch, Andrew Zisserman & Xavier Munoz: Representing shape with a spatial pyramid kernel.
class	RankAndOpponent	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.joint.RankAndOpponent. For more information, see: Mathias Lux, Savvas A.
class	RotationInvariantLocalBinaryPatterns	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.RotationInvariantLocalBinaryPatterns. For more information on the LIRE project, see: http://www.lire-project.net/
class	ScalableColor	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.ScalableColor. For more information on the LIRE project, see: http://www.lire-project.net/
class	SimpleCentrist	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.centrist.SimpleCentrist. For more information, see: Jianxin Wu; Rehg, J.M.
class	SimpleColorHistogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.SimpleColorHistogram. For more information on the LIRE project, see: http://www.lire-project.net/
class	SpatialPyramidAutoColorCorrelogram	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPACC. For more information, see: Mathias Lux, Savvas A.
class	SpatialPyramidCEDD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPCEDD. For more information, see: Savvas A.
class	SpatialPyramidCentrist	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.centrist.SpatialPyramidCentrist. For more information, see: Jianxin Wu; Rehg, J.M.
class	SpatialPyramidFCTH	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPFCTH. For more information, see: Savvas A.
class	SpatialPyramidJCD	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPJCD. Joining CEDD and FCTH in one histogram. For more information on the LIRE project, see: http://www.lire-project.net/
class	SpatialPyramidLocalBinaryPatterns	Generates features using net.semanticmetadata.lire.imageanalysis.features.global.spatialpyramid.SPLBP. For more information on the LIRE project, see: http://www.lire-project.net/
class	Tamura	Generates features using net.semanticmetadata.lire.imageanalysis.Tamura. For more information on the LIRE project, see: http://www.lire-project.net/

Uses of AbstractBufferedImageFeatureGenerator in adams.flow.transformer

Fields in adams.flow.transformer declared as AbstractBufferedImageFeatureGenerator

Modifier and Type	Field	Description
protected AbstractBufferedImageFeatureGenerator	BufferedImageFeatureGenerator.m_ActualAlgorithm	the actual algorithm to apply to the image.
protected AbstractBufferedImageFeatureGenerator	BufferedImageFeatureGenerator.m_Algorithm	the algorithm to apply to the image.

Methods in adams.flow.transformer that return AbstractBufferedImageFeatureGenerator

Modifier and Type	Method	Description
AbstractBufferedImageFeatureGenerator	BufferedImageFeatureGenerator.getAlgorithm()	Returns the algorithm in use.

Methods in adams.flow.transformer with parameters of type AbstractBufferedImageFeatureGenerator

Modifier and Type	Method	Description
void	BufferedImageFeatureGenerator.setAlgorithm(AbstractBufferedImageFeatureGenerator value)	Sets the algorithm to use.