boofcv.factory.feature.detect.intensity

Class FactoryIntensityPointAlg

java.lang.Object

boofcv.factory.feature.detect.intensity.FactoryIntensityPointAlg

public class FactoryIntensityPointAlg
extends java.lang.Object

Factory for creating various types of interest point intensity algorithms.

See Also:

FactoryIntensityPoint

Constructor Summary

Constructors

Constructor and Description
FactoryIntensityPointAlg()

Method Summary

Modifier and Type	Method and Description
static <T extends ImageGray> FastCornerIntensity<T>	fast(int pixelTol, int minCont, java.lang.Class<T> imageType) Common interface for creating a FastCornerIntensity from different image types.
static <D extends ImageGray> HarrisCornerIntensity<D>	harris(int windowRadius, float kappa, boolean weighted, java.lang.Class<D> derivType) Common interface for creating a HarrisCornerIntensity from different image types.
static <D extends ImageGray> ShiTomasiCornerIntensity<D>	shiTomasi(int windowRadius, boolean weighted, java.lang.Class<D> derivType) Common interface for creating a ShiTomasiCornerIntensity from different image types.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

FactoryIntensityPointAlg

public FactoryIntensityPointAlg()

Method Detail

fast

public static <T extends ImageGray> FastCornerIntensity<T> fast(int pixelTol,
                                                                int minCont,
                                                                java.lang.Class<T> imageType)

Common interface for creating a FastCornerIntensity from different image types.

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 corner

harris

public static <D extends ImageGray> HarrisCornerIntensity<D> harris(int windowRadius,
                                                                    float kappa,
                                                                    boolean weighted,
                                                                    java.lang.Class<D> derivType)

Common interface for creating a HarrisCornerIntensity from different image types.

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

shiTomasi

public static <D extends ImageGray> ShiTomasiCornerIntensity<D> shiTomasi(int windowRadius,
                                                                          boolean weighted,
                                                                          java.lang.Class<D> derivType)

Common interface for creating a ShiTomasiCornerIntensity from different image types.

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.

Returns:

KLT corner