Module imagingbook.common

Package imagingbook.common.filter.linear

Class GaussianKernel2D

java.lang.Object

imagingbook.common.filter.linear.Kernel2D

imagingbook.common.filter.linear.GaussianKernel2D

public class GaussianKernel2D
extends Kernel2D

This class represents a 2D filter kernel.

Version:

2022/09/10

Constructor Summary

Constructors

Constructor	Description
GaussianKernel2D(double sigma)	Constructor with common sigma for x/y.
GaussianKernel2D(double sigmaX, double sigmaY)	Constructor with individual sigmas for x/y.

Method Summary

Modifier and Type	Method	Description
static float[][]	makeGaussKernel2D(double sigmaX, double sigmaY)	Creates and returns a 2D Gaussian filter kernel large enough to avoid truncation effects.
static float[][]	makeGaussKernel2D(double sigmaX, double sigmaY, boolean normalize)	Creates and returns a 2D Gaussian filter kernel large enough to avoid truncation effects.

Methods inherited from class imagingbook.common.filter.linear.Kernel2D

getEffectiveKernel, getH, getHeight, getWidth, getXc, getYc, normalize

Methods inherited from class java.lang.Object

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

Constructor Details

GaussianKernel2D

public GaussianKernel2D(double sigmaX,
 double sigmaY)

Constructor with individual sigmas for x/y.

Parameters:

sigmaX - sigma for X

sigmaY - sigma for Y

GaussianKernel2D

public GaussianKernel2D(double sigma)

Constructor with common sigma for x/y.

Parameters:

sigma - common sigma for X/Y

Method Details

makeGaussKernel2D

public static float[][] makeGaussKernel2D(double sigmaX,
 double sigmaY)

Creates and returns a 2D Gaussian filter kernel large enough to avoid truncation effects. The associated array is odd-sized in both dimensions. The returned kernel is normalized.

Parameters:

sigmaX - the width (standard deviation) of the Gaussian in x-direction

sigmaY - the width (standard deviation) of the Gaussian in y-direction

Returns:

the Gaussian filter kernel

makeGaussKernel2D

public static float[][] makeGaussKernel2D(double sigmaX,
 double sigmaY,
 boolean normalize)

Creates and returns a 2D Gaussian filter kernel large enough to avoid truncation effects. The associated array is odd-sized in both dimensions. The returned kernel is optionally normalized.

Parameters:

sigmaX - the width (standard deviation) of the Gaussian in x-direction

sigmaY - the width (standard deviation) of the Gaussian in y-direction

normalize - set true to normalize the kernel

Returns:

the Gaussian filter kernel