Module ITKImageFilterBase

Collaboration diagram for Module ITKImageFilterBase:

Classes
class	itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction >
class	itk::BinaryGeneratorImageFilter< TInputImage1, TInputImage2, TOutputImage >
class	itk::BoxImageFilter< TInputImage, TOutputImage >
class	itk::Functor::Cast< TInput, TOutput >
class	itk::CastImageFilter< TInputImage, TOutputImage >
class	itk::KernelImageFilter< TInputImage, TOutputImage, TKernel >
class	itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType >
class	itk::MovingHistogramImageFilter< TInputImage, TOutputImage, TKernel, THistogram >
class	itk::MovingHistogramImageFilterBase< TInputImage, TOutputImage, TKernel >
class	itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType >
class	itk::NoiseImageFilter< TInputImage, TOutputImage >
class	itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage >
class	itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction >
class	itk::UnaryGeneratorImageFilter< TInputImage, TOutputImage >
class	itk::VectorCastImageFilter< TInputImage, TOutputImage >
class	itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage >

Detailed Description

This module contains the base classes that support image filters. For the most part, these are classes that developers will use to create new image filters (and that are the base classes of existing image filters). You will find here: Unary, Binary and Ternary Functor filters, Noise sources, recursive separable filters and the base classes for neighborhood filters.

Dependencies:

• Module ITKCommon