Module imagingbook.common

Package imagingbook.common.filter.linear

Class GaussianFilterSeparable

java.lang.Object

imagingbook.common.filter.generic.GenericFilter

imagingbook.common.filter.generic.GenericFilterScalarSeparable

imagingbook.common.filter.linear.LinearFilterSeparable

imagingbook.common.filter.linear.GaussianFilterSeparable

All Implemented Interfaces:

ProgressReporter

public class GaussianFilterSeparable
extends LinearFilterSeparable

This class implements a x/y-separated 2D Gaussian filter by extending LinearFilterSeparable.

Version:

2020/12/29

See Also:

• LinearFilterSeparable
• GaussianFilter

Field Summary

Fields inherited from class imagingbook.common.filter.generic.GenericFilterScalarSeparable

doX, doY

Constructor Summary

Constructors

Constructor	Description
GaussianFilterSeparable(double sigma)	Constructor accepting a common sigma for x/y.
GaussianFilterSeparable(double sigmaX, double sigmaY)	Constructor accepting individual sigmas for x/y.

Method Summary

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

doPixelX, doPixelY

Methods inherited from class imagingbook.common.filter.generic.GenericFilterScalarSeparable

reportProgress, runPass

Methods inherited from class imagingbook.common.filter.generic.GenericFilter

abort, applyTo, applyTo, applyTo, closeFilter, getDepth, getHeight, getPass, getProgress, getWidth, initFilter, initPass, passesRequired, reportProgress

Methods inherited from class java.lang.Object

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

Constructor Details

GaussianFilterSeparable

public GaussianFilterSeparable(double sigma)

Constructor accepting a common sigma for x/y.

Parameters:

sigma - the width of the 2D Gaussian in x- and y-direction

GaussianFilterSeparable

public GaussianFilterSeparable(double sigmaX,
 double sigmaY)

Constructor accepting individual sigmas for x/y. If any sigma ≤ 0 or NaN, i.e., the corresponding x- or y-pass is not performed.

Parameters:

sigmaX - the width of the 2D Gaussian in x-direction

sigmaY - the width of the 2D Gaussian in y-direction