org.openimaj.image.processing.convolution

Class Gaussian2D

java.lang.Object

org.openimaj.image.processing.convolution.FConvolution

org.openimaj.image.processing.convolution.Gaussian2D

All Implemented Interfaces:

ImageProcessor<FImage>, Processor<FImage>, SinglebandImageProcessor<Float,FImage>

public class Gaussian2D
extends FConvolution

Simple 2D Gaussian convolution. In most cases the FGaussianConvolve filter will do the same thing, but much much faster!

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Nested Class Summary

Nested classes/interfaces inherited from interface org.openimaj.image.processor.SinglebandImageProcessor

SinglebandImageProcessor.Processable<T,S extends Image<T,S>,I extends Image<?,I>>

Field Summary

Fields inherited from class org.openimaj.image.processing.convolution.FConvolution

kernel

Constructor Summary

Constructors

Constructor and Description
Gaussian2D(int size, float sigma) Construct with given kernel size and variance.
Gaussian2D(int width, int height, float sigma) Construct with given kernel size and variance.

Method Summary

Modifier and Type	Method and Description
static FImage	createKernelImage(int size, float sigma) Create a kernel image with given kernel size and standard deviation.
static FImage	createKernelImage(int width, int height, float sigma) Create a kernel image with given kernel size and standard deviation.

Methods inherited from class org.openimaj.image.processing.convolution.FConvolution

processImage, responseAt, setBruteForce

Methods inherited from class java.lang.Object

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

Constructor Detail

Gaussian2D

public Gaussian2D(int width,
                  int height,
                  float sigma)

Construct with given kernel size and variance.

Parameters:

width - kernel width

height - kernel height

sigma - variance

Gaussian2D

public Gaussian2D(int size,
                  float sigma)

Construct with given kernel size and variance.

Parameters:

size - kernel width/height

sigma - standard deviation

Method Detail

createKernelImage

public static FImage createKernelImage(int size,
                                       float sigma)

Create a kernel image with given kernel size and standard deviation.

Parameters:

size - image height/width.

sigma - standard deviation.

Returns:

new kernel image.

createKernelImage

public static FImage createKernelImage(int width,
                                       int height,
                                       float sigma)

Create a kernel image with given kernel size and standard deviation.

Parameters:

width - image width.

height - image height.

sigma - standard deviation.

Returns:

new kernel image.