Module ITKCurvatureFlow

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:

• Module ITKFiniteDifference
• Module ITKImageFilterBase