FactoryIntensityPoint (feature 0.18 API)

java.lang.Object
- boofcv.factory.feature.detect.intensity.FactoryIntensityPoint

```
public class FactoryIntensityPoint
extends java.lang.Object
```
Provides intensity feature intensity algorithms which conform to the GeneralFeatureIntensity interface.

See Also:
FactoryIntensityPointAlg, FactoryFeatureExtractor

Constructor Summary

Constructors
Constructor and Description

FactoryIntensityPoint()

Constructors
Constructor and Description
`FactoryIntensityPoint()`

Method Summary

Methods
Modifier and Type	Method and Description
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`fast(int pixelTol, int minCont, java.lang.Class<I> imageType)` Feature intensity for Fast corner detector.
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`harris(int windowRadius, float kappa, boolean weighted, java.lang.Class<D> derivType)` Feature intensity for Harris corner detector.
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`hessian(HessianBlobIntensity.Type type, java.lang.Class<D> derivType)` Blob detector which uses the image's second order derivatives directly.
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`kitros(java.lang.Class<D> derivType)` Feature intensity for Kitchen and Rosenfeld corner detector.
`static <I extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,?>`	`laplacian()` Blob detector which uses a 3x3 kernel to approximate the second order derivatives and compute a Laplacian blob.
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`median(int radius, java.lang.Class<I> imageType)` Feature intensity for median corner detector.
`static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D>`	`shiTomasi(int windowRadius, boolean weighted, java.lang.Class<D> derivType)` Feature intensity for KLT corner detector.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail
- FactoryIntensityPoint
```
public FactoryIntensityPoint()
```

Method Detail

fast

public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> fast(int pixelTol,
                                                                                                                              int minCont,
                                                                                                                              java.lang.Class<I> imageType)

Feature intensity for Fast corner detector. See FastCornerIntensity for more details.

Type Parameters:: I - Input image type.; D - Derivative type.
Parameters:: pixelTol - How different pixels need to be to be considered part of a corner. Image dependent. Try 20 to start.; minCont - Minimum number of continue pixels in a circle for it ot be a corner. Can be 9,10,11 or 12.; imageType - Type of input image it is computed form.
Returns:: Fast feature intensity

harris

public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> harris(int windowRadius,
                                                                                                                                float kappa,
                                                                                                                                boolean weighted,
                                                                                                                                java.lang.Class<D> derivType)

Feature intensity for Harris corner detector. See HarrisCornerIntensity for more details.

Type Parameters:: I - Input image type.; D - Derivative type.
Parameters:: windowRadius - Size of the feature it is detects, Try 2.; kappa - Tuning parameter, typically a small number around 0.04; weighted - Is the gradient weighted using a Gaussian distribution? Weighted is much slower than unweighted.; derivType - Image derivative type it is computed from. @return Harris corner
Returns:: Harris feature intensity

shiTomasi

public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> shiTomasi(int windowRadius,
                                                                                                                                   boolean weighted,
                                                                                                                                   java.lang.Class<D> derivType)

Feature intensity for KLT corner detector. See ShiTomasiCornerIntensity for more details.

Type Parameters:: I - Input image type.; D - Derivative type.
Parameters:: windowRadius - Size of the feature it detects, Try 2.; weighted - Should the it be weighted by a Gaussian kernel? Unweighted is much faster.; derivType - Image derivative type it is computed from. * @param derivType Image derivative type it is computed from. @return Harris corner
Returns:: KLT feature intensity

kitros
```
public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> kitros(java.lang.Class<D> derivType)
```
Feature intensity for Kitchen and Rosenfeld corner detector. See KitRosCornerIntensity for more details.

Type Parameters:
I - Input image type.
D - Derivative type.
Parameters:
derivType - Image derivative type it is computed from.

Returns:
Kitchen and Rosenfeld feature intensity

median

public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> median(int radius,
                                                                                                                                java.lang.Class<I> imageType)

Feature intensity for median corner detector.

Type Parameters:: I - Input image type.
Parameters:: radius - Size of the feature it detects,
Returns:: Median feature intensity

hessian

public static <I extends boofcv.struct.image.ImageSingleBand,D extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,D> hessian(HessianBlobIntensity.Type type,
                                                                                                                                 java.lang.Class<D> derivType)

Blob detector which uses the image's second order derivatives directly.

Type Parameters:: I - Input image type.; D - Derivative type.
Parameters:: type - Type of Hessian
Returns:: Hessian based blob intensity
See Also:: HessianBlobIntensity

laplacian
```
public static <I extends boofcv.struct.image.ImageSingleBand> GeneralFeatureIntensity<I,?> laplacian()
```
Blob detector which uses a 3x3 kernel to approximate the second order derivatives and compute a Laplacian blob.

Class FactoryIntensityPoint

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

FactoryIntensityPoint