Classes |
class | itk::BinaryFunctorImageFilter< TInputImage1, TInputImage2, TOutputImage, TFunction > |
| Implements pixel-wise generic operation of two images, or of an image and a constant. More...
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class | itk::BoxImageFilter< TInputImage, TOutputImage > |
| A base class for all the filters working on a box neighborhood. More...
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class | itk::CastImageFilter< TInputImage, TOutputImage > |
| Casts input pixels to output pixel type. More...
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class | itk::ClampImageFilter< TInputImage, TOutputImage > |
| Casts input pixels to output pixel type and clamps the output pixel values to the range supported by the output pixel type. More...
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class | itk::MaskNeighborhoodOperatorImageFilter< TInputImage, TMaskImage, TOutputImage, TOperatorValueType > |
| Applies a single NeighborhoodOperator to an image, processing only those pixels that are under a mask. More...
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class | itk::NeighborhoodOperatorImageFilter< TInputImage, TOutputImage, TOperatorValueType > |
| Applies a single NeighborhoodOperator to an image region. More...
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class | itk::NoiseImageFilter< TInputImage, TOutputImage > |
| Calculate the local noise in an image. More...
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class | itk::RecursiveSeparableImageFilter< TInputImage, TOutputImage > |
| Base class for recursive convolution with a kernel. More...
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class | itk::TernaryFunctorImageFilter< TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction > |
| Implements pixel-wise generic operation of three images. More...
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class | itk::VectorCastImageFilter< TInputImage, TOutputImage > |
| Casts input vector pixels to output vector pixel type. More...
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class | itk::VectorNeighborhoodOperatorImageFilter< TInputImage, TOutputImage > |
| Applies a single scalar NeighborhoodOperator to an itk::Vector image region. More...
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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:
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