Module ITKSmoothing

Collaboration diagram for Module ITKSmoothing:

Classes
class	itk::BinomialBlurImageFilter< TInputImage, TOutputImage >
	Performs a separable blur on each dimension of an image. More...
class	itk::DiscreteGaussianImageFilter< TInputImage, TOutputImage >
	Blurs an image by separable convolution with discrete gaussian kernels. This filter performs Gaussian blurring by separable convolution of an image and a discrete Gaussian operator (kernel). More...
class	itk::MeanImageFilter< TInputImage, TOutputImage >
	Applies an averaging filter to an image. More...
class	itk::MedianImageFilter< TInputImage, TOutputImage >
	Applies a median filter to an image. More...
class	itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage >
	Base class for computing IIR convolution with an approximation of a Gaussian kernel. More...
class	itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage >
	Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More...

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Detailed Description

This module includes the most common image smoothing filters. For example, Gaussian and Median filters. You may also find it interesting to look at the ITKAnisotropicSmoothing group of filters.

Dependencies:

• Module ITKImageFilterBase
• Module ITKImageFunction