Module ITKConvolution

Collaboration diagram for Module ITKConvolution:

Classes
class	itk::ConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage >
	Convolve a given image with an arbitrary image kernel. More...
class	itk::ConvolutionImageFilterBase< TInputImage, TKernelImage, TOutputImage >
	Abstract base class for the convolution image filters. More...
class	itk::FFTConvolutionImageFilter< TInputImage, TKernelImage, TOutputImage, TInternalPrecision >
	Convolve a given image with an arbitrary image kernel using multiplication in the Fourier domain. More...
class	itk::FFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage >
	Calculate normalized cross correlation using FFTs. More...
class	itk::MaskedFFTNormalizedCorrelationImageFilter< TInputImage, TOutputImage, TMaskImage >
	Calculate masked normalized cross correlation using FFTs. More...
class	itk::NormalizedCorrelationImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >
	Computes the normalized correlation of an image and a template. More...

Detailed Description

This module contains filters that convolve an image with a kernel. Convolution is a fundamental operation in many image analysis algorithms.

Dependencies:

• Module ITKFFT
• Module ITKImageGrid
• Module ITKImageIntensity
• Module ITKThresholding