boofcv.alg.filter.derivative

Class GImageDerivativeOps

java.lang.Object

boofcv.alg.filter.derivative.GImageDerivativeOps

public class GImageDerivativeOps
extends Object

Generalized operations related to compute different image derivatives.

Author:

Peter Abeles

Constructor Summary

Constructors

Constructor and Description
GImageDerivativeOps()

Method Summary

Methods

Modifier and Type	Method and Description
static <I extends ImageSingleBand,D extends ImageSingleBand> AnyImageDerivative<I,D>	createDerivatives(Class<I> inputType, Class<D> derivType) See createDerivatives(Class, boofcv.core.image.ImageGenerator).
static <I extends ImageSingleBand,D extends ImageSingleBand> AnyImageDerivative<I,D>	createDerivatives(Class<I> inputType, ImageGenerator<D> derivGen) Creates an AnyImageDerivative for use when processing scale space images.
static <I extends ImageSingleBand,D extends ImageSingleBand> Class<D>	getDerivativeType(Class<I> imageType) Returns the type of image the derivative should be for the specified input type.
static <D extends ImageSingleBand> void	hessianPrewitt(D inputDerivX, D inputDerivY, D derivXX, D derivYY, D derivXY, BorderType borderType)
static <D extends ImageSingleBand> void	hessianSobel(D inputDerivX, D inputDerivY, D derivXX, D derivYY, D derivXY, BorderType borderType)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	hessianSobel(I input, D derivXX, D derivYY, D derivXY, BorderType borderType)
static <D extends ImageSingleBand> void	hessianThree(D inputDerivX, D inputDerivY, D derivXX, D derivYY, D derivXY, BorderType borderType)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	hessianThree(I input, D derivXX, D derivYY, D derivXY, BorderType borderType)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	laplace(I input, D output)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	prewitt(I input, D derivX, D derivY, BorderType borderType)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	sobel(I input, D derivX, D derivY, BorderType borderType)
static <I extends ImageSingleBand,D extends ImageSingleBand> void	three(I input, D derivX, D derivY, BorderType borderType)

Methods inherited from class java.lang.Object

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

Constructor Detail

GImageDerivativeOps

public GImageDerivativeOps()

Method Detail

laplace

public static <I extends ImageSingleBand,D extends ImageSingleBand> void laplace(I input,
                                                                 D output)

getDerivativeType

public static <I extends ImageSingleBand,D extends ImageSingleBand> Class<D> getDerivativeType(Class<I> imageType)

Returns the type of image the derivative should be for the specified input type.

Parameters:

imageType - Input image type.

Returns:

Appropriate output image type.

sobel

public static <I extends ImageSingleBand,D extends ImageSingleBand> void sobel(I input,
                                                               D derivX,
                                                               D derivY,
                                                               BorderType borderType)

prewitt

public static <I extends ImageSingleBand,D extends ImageSingleBand> void prewitt(I input,
                                                                 D derivX,
                                                                 D derivY,
                                                                 BorderType borderType)

three

public static <I extends ImageSingleBand,D extends ImageSingleBand> void three(I input,
                                                               D derivX,
                                                               D derivY,
                                                               BorderType borderType)

hessianSobel

public static <I extends ImageSingleBand,D extends ImageSingleBand> void hessianSobel(I input,
                                                                      D derivXX,
                                                                      D derivYY,
                                                                      D derivXY,
                                                                      BorderType borderType)

hessianThree

public static <I extends ImageSingleBand,D extends ImageSingleBand> void hessianThree(I input,
                                                                      D derivXX,
                                                                      D derivYY,
                                                                      D derivXY,
                                                                      BorderType borderType)

hessianSobel

public static <D extends ImageSingleBand> void hessianSobel(D inputDerivX,
                                            D inputDerivY,
                                            D derivXX,
                                            D derivYY,
                                            D derivXY,
                                            BorderType borderType)

hessianPrewitt

public static <D extends ImageSingleBand> void hessianPrewitt(D inputDerivX,
                                              D inputDerivY,
                                              D derivXX,
                                              D derivYY,
                                              D derivXY,
                                              BorderType borderType)

hessianThree

public static <D extends ImageSingleBand> void hessianThree(D inputDerivX,
                                            D inputDerivY,
                                            D derivXX,
                                            D derivYY,
                                            D derivXY,
                                            BorderType borderType)

createDerivatives

public static <I extends ImageSingleBand,D extends ImageSingleBand> AnyImageDerivative<I,D> createDerivatives(Class<I> inputType,
                                                                                              ImageGenerator<D> derivGen)

Creates an AnyImageDerivative for use when processing scale space images.

The derivative is calculating using a kernel which does not involve any additional blurring. Using a Gaussian kernel is equivalent to blurring the image an additional time then computing the derivative Other derivatives such as Sobel and Prewitt also blur the image. Image bluing has already been done once before the derivative is computed.

Type Parameters:

I - Image type.

D - Image derivative type.

Parameters:

inputType - Type of input image.

derivGen - Generator for derivative images.

Returns:

AnyImageDerivative

createDerivatives

public static <I extends ImageSingleBand,D extends ImageSingleBand> AnyImageDerivative<I,D> createDerivatives(Class<I> inputType,
                                                                                              Class<D> derivType)

See createDerivatives(Class, boofcv.core.image.ImageGenerator).

Type Parameters:

I - Image type.

D - Image derivative type.

Parameters:

inputType - Type of input image.

derivType - Type of output image.

Returns:

AnyImageDerivative