boofcv.abst.filter.derivative

Class ImageGradient_Gaussian<I extends ImageGray,D extends ImageGray>

java.lang.Object

boofcv.abst.filter.derivative.ImageGradient_Gaussian<I,D>

All Implemented Interfaces:

ImageDerivative<I,D>, ImageGradient<I,D>

public class ImageGradient_Gaussian<I extends ImageGray,D extends ImageGray>
extends java.lang.Object
implements ImageGradient<I,D>

Finds the derivative using a Gaussian kernel. This is the same as convolving the image and then computing the derivative

Constructor Summary

Constructors

Constructor and Description
ImageGradient_Gaussian(double sigma, int radius, java.lang.Class<I> inputType, java.lang.Class<D> derivType)
ImageGradient_Gaussian(int radius, java.lang.Class<I> inputType, java.lang.Class<D> derivType)

Method Summary

Modifier and Type	Method and Description
int	getBorder() How many pixels wide is the region that is not processed along the outside border of the image.
BorderType	getBorderType() Returns how the image borders are handled.
ImageType<D>	getDerivativeType() Image type for derivative output
void	process(I inputImage, D derivX, D derivY) Computes the image gradient from the input image and stores the results into 'derivX' and 'derivY'
void	setBorderType(BorderType type) Overrides using BorderType.EXTENDED along the image border.

Methods inherited from class java.lang.Object

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

Constructor Detail

ImageGradient_Gaussian

public ImageGradient_Gaussian(int radius,
                              java.lang.Class<I> inputType,
                              java.lang.Class<D> derivType)

ImageGradient_Gaussian

public ImageGradient_Gaussian(double sigma,
                              int radius,
                              java.lang.Class<I> inputType,
                              java.lang.Class<D> derivType)

Method Detail

process

public void process(I inputImage,
                    D derivX,
                    D derivY)

Description copied from interface: ImageGradient

Computes the image gradient from the input image and stores the results into 'derivX' and 'derivY'

Specified by:

process in interface ImageGradient<I extends ImageGray,D extends ImageGray>

Parameters:

inputImage - Original input image. Not modified.

derivX - First order image derivative along the x-axis. Modified.

derivY - First order image derivative along the y-axis. Modified.

setBorderType

public void setBorderType(BorderType type)

Description copied from interface: ImageDerivative

Overrides using BorderType.EXTENDED along the image border. Don't change this behavior unless you know what you're doing.

Specified by:

setBorderType in interface ImageDerivative<I extends ImageGray,D extends ImageGray>

Parameters:

type - Specify image border behavior

getBorderType

public BorderType getBorderType()

Description copied from interface: ImageDerivative

Returns how the image borders are handled.

Specified by:

getBorderType in interface ImageDerivative<I extends ImageGray,D extends ImageGray>

Returns:

Image border type.

getBorder

public int getBorder()

Description copied from interface: ImageDerivative

How many pixels wide is the region that is not processed along the outside border of the image.

Specified by:

getBorder in interface ImageDerivative<I extends ImageGray,D extends ImageGray>

Returns:

number of pixels.

getDerivativeType

public ImageType<D> getDerivativeType()

Description copied from interface: ImageDerivative

Image type for derivative output

Specified by:

getDerivativeType in interface ImageDerivative<I extends ImageGray,D extends ImageGray>