ITK
4.2.0
Insight Segmentation and Registration Toolkit
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Classes | |
class | itk::AccumulateImageFilter< TInputImage, TOutputImage > |
Implements an accumulation of an image along a selected direction. More... | |
class | itk::ConnectedComponentImageFilter< TInputImage, TOutputImage, TMaskImage > |
Label the objects in a binary image. More... | |
class | itk::GetAverageSliceImageFilter< TInputImage, TOutputImage > |
Averages a single dimension of an image. More... | |
class | itk::GradientMagnitudeRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Magnitude of the Gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | itk::GradientRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the gradient of an image by convolution with the first derivative of a Gaussian. More... | |
class | itk::HessianRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Hessian matrix of an image by convolution with the Second and Cross derivatives of a Gaussian. More... | |
class | itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the Laplacian of Gaussian (LoG) of an image. More... | |
class | itk::ProjectionImageFilter< TInputImage, TOutputImage, TAccumulator > |
Implements an accumulation of an image along a selected direction. More... | |
class | itk::RecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Base class for computing IIR convolution with an approximation of a Gaussian kernel. More... | |
class | itk::ReflectImageFilter< TInputImage, TOutputImage > |
Implements a Reflection of an image along a selected direction. More... | |
class | itk::RelabelComponentImageFilter< TInputImage, TOutputImage > |
Relabel the components in an image such that consecutive labels are used. More... | |
class | itk::SmoothingRecursiveGaussianImageFilter< TInputImage, TOutputImage > |
Computes the smoothing of an image by convolution with the Gaussian kernels implemented as IIR filters. More... |
Filter on this category perform all its processing in a single thread