boofcv.factory.filter.derivative

Class FactoryDerivative

java.lang.Object

boofcv.factory.filter.derivative.FactoryDerivative

public class FactoryDerivative
extends java.lang.Object

Factory for creating different types of ImageGradient, which are used to compute the image's derivative.

Constructor Summary

Constructors

Constructor and Description
FactoryDerivative()

Method Summary

Modifier and Type	Method and Description
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	gaussian(double sigma, int radius, java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageBase,D extends ImageBase> ImageGradient<I,D>	gradient(DerivativeType type, ImageType<I> inputType, ImageType<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<Planar<I>,Planar<D>>	gradientPL(DerivativeType type, int numBands, java.lang.Class<I> inputType, java.lang.Class<D> derivType) Filters for computing the gradient of Planar images.
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	gradientSB(DerivativeType type, java.lang.Class<I> inputType, java.lang.Class<D> derivType) Returns the gradient for single band images of the specified type
static <D extends ImageGray> ImageHessian<D>	hessian(java.lang.Class<?> gradientType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageHessianDirect<I,D>	hessianDirectSobel(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageHessianDirect<I,D>	hessianDirectThree(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <D extends ImageGray> ImageHessian<D>	hessianPrewitt(java.lang.Class<D> derivType)
static <D extends ImageGray> ImageHessian<D>	hessianSobel(java.lang.Class<D> derivType)
static <D extends ImageGray> ImageHessian<D>	hessianThree(java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	prewitt(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	sobel(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	three(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	two0(java.lang.Class<I> inputType, java.lang.Class<D> derivType)
static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D>	two1(java.lang.Class<I> inputType, java.lang.Class<D> derivType)

Methods inherited from class java.lang.Object

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

Constructor Detail

FactoryDerivative

public FactoryDerivative()

Method Detail

gradientSB

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> gradientSB(DerivativeType type,
                                                                                      java.lang.Class<I> inputType,
                                                                                      java.lang.Class<D> derivType)

Returns the gradient for single band images of the specified type

Type Parameters:

I - Input image

D - Derivative image

Parameters:

type - Type of gradient

inputType - Type of input image

derivType - Type of gradient image. null for default

Returns:

gradient filter

gradientPL

public static <I extends ImageGray,D extends ImageGray> ImageGradient<Planar<I>,Planar<D>> gradientPL(DerivativeType type,
                                                                                                      int numBands,
                                                                                                      java.lang.Class<I> inputType,
                                                                                                      java.lang.Class<D> derivType)

Filters for computing the gradient of Planar images.

Type Parameters:

I - Image type

D - Derivative type

Parameters:

type - Which gradient to compute

numBands - Number of bands in the image

inputType - Type of data on input

derivType - Type of data on output (null for default)

Returns:

the filter

gradient

public static <I extends ImageBase,D extends ImageBase> ImageGradient<I,D> gradient(DerivativeType type,
                                                                                    ImageType<I> inputType,
                                                                                    ImageType<D> derivType)

prewitt

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> prewitt(java.lang.Class<I> inputType,
                                                                                   java.lang.Class<D> derivType)

sobel

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> sobel(java.lang.Class<I> inputType,
                                                                                 java.lang.Class<D> derivType)

three

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> three(java.lang.Class<I> inputType,
                                                                                 java.lang.Class<D> derivType)

two0

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> two0(java.lang.Class<I> inputType,
                                                                                java.lang.Class<D> derivType)

two1

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> two1(java.lang.Class<I> inputType,
                                                                                java.lang.Class<D> derivType)

hessianDirectThree

public static <I extends ImageGray,D extends ImageGray> ImageHessianDirect<I,D> hessianDirectThree(java.lang.Class<I> inputType,
                                                                                                   java.lang.Class<D> derivType)

hessianDirectSobel

public static <I extends ImageGray,D extends ImageGray> ImageHessianDirect<I,D> hessianDirectSobel(java.lang.Class<I> inputType,
                                                                                                   java.lang.Class<D> derivType)

hessian

public static <D extends ImageGray> ImageHessian<D> hessian(java.lang.Class<?> gradientType,
                                                            java.lang.Class<D> derivType)

gaussian

public static <I extends ImageGray,D extends ImageGray> ImageGradient<I,D> gaussian(double sigma,
                                                                                    int radius,
                                                                                    java.lang.Class<I> inputType,
                                                                                    java.lang.Class<D> derivType)

hessianSobel

public static <D extends ImageGray> ImageHessian<D> hessianSobel(java.lang.Class<D> derivType)

hessianPrewitt

public static <D extends ImageGray> ImageHessian<D> hessianPrewitt(java.lang.Class<D> derivType)

hessianThree

public static <D extends ImageGray> ImageHessian<D> hessianThree(java.lang.Class<D> derivType)