ITK
4.3.0
Insight Segmentation and Registration Toolkit
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Classes | |
class | itk::BinaryMinMaxCurvatureFlowFunction< TImage > |
class | itk::BinaryMinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > |
Denoise a binary image using min/max curvature flow. More... | |
class | itk::CurvatureFlowFunction< TImage > |
This class encapsulate the finite difference equation which drives a curvature flow denoising algorithm. More... | |
class | itk::CurvatureFlowImageFilter< TInputImage, TOutputImage > |
Denoise an image using curvature driven flow. More... | |
class | itk::MinMaxCurvatureFlowFunction< TImage > |
class | itk::MinMaxCurvatureFlowImageFilter< TInputImage, TOutputImage > |
Denoise an image using min/max curvature flow. More... | |
This module contains filters that implement variations of Curvature Flow. This is a technique that uses an iterative solution of partial differential equations to implement image denoising image filtering. These classes are typically used as edge-preserving smoothing filters. You may also find the Module ITKSmoothing and the Module ITKAnisotropicSmoothing useful as well.