Module ITKMarkovRandomFieldsClassifiers

Collaboration diagram for Module ITKMarkovRandomFieldsClassifiers:

Classes
class	itk::MRFImageFilter< TInputImage, TClassifiedImage >
	Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set. More...
class	itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >
	The RGBGibbsPriorFilter applies Gibbs Prior model for the segmentation of MRF images. More...

Detailed Description

This module contains classes to perform Markov Random Field classification of image pixels. An initial label image, perhaps generated by Module ITKClassifiers, is improved by iteratively accounting for the spatial coherence of the labels.

Dependencies:

• Module ITKClassifiers
• Module ITKStatistics