ITK  4.3.0
Insight Segmentation and Registration Toolkit
Classes
Module ITKCurvatureFlow
Group Filtering
+ Collaboration diagram for Module ITKCurvatureFlow:

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...
 

Detailed Description

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.

Dependencies: