boofcv.factory.feature.detect.intensity

Class FactoryIntensityPoint

java.lang.Object

boofcv.factory.feature.detect.intensity.FactoryIntensityPoint

public class FactoryIntensityPoint
extends Object

Provides intensity feature intensity algorithms which conform to the GeneralFeatureIntensity interface.

Author:

Peter Abeles

See Also:

FactoryIntensityPointAlg, FactoryFeatureExtractor

Constructor Summary

Constructors

Constructor and Description
FactoryIntensityPoint()

Method Summary

Methods

Modifier and Type	Method and Description
static <I extends ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	fast(int pixelTol, int minCont, Class<I> imageType) Feature intensity for Fast corner detector.
static <I extends ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	harris(int windowRadius, float kappa, boolean weighted, Class<D> derivType) Feature intensity for Harris corner detector.
static <I extends ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	hessian(HessianBlobIntensity.Type type, Class<D> derivType) Blob detector which uses the image's second order derivatives directly.
static <I extends ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	kitros(Class<D> derivType) Feature intensity for Kitchen and Rosenfeld corner detector.
static <I extends 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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	median(int radius, Class<I> imageType) Feature intensity for median corner detector.
static <I extends ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D>	shiTomasi(int windowRadius, boolean weighted, 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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> fast(int pixelTol,
                                                                                      int minCont,
                                                                                      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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> harris(int windowRadius,
                                                                                        float kappa,
                                                                                        boolean weighted,
                                                                                        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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> shiTomasi(int windowRadius,
                                                                                           boolean weighted,
                                                                                           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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> kitros(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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> median(int radius,
                                                                                        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 ImageSingleBand,D extends ImageSingleBand> GeneralFeatureIntensity<I,D> hessian(HessianBlobIntensity.Type type,
                                                                                         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 ImageSingleBand> GeneralFeatureIntensity<I,?> laplacian()

Blob detector which uses a 3x3 kernel to approximate the second order derivatives and compute a Laplacian blob.