Markov Random Field-based Filters

Collaboration diagram for Markov Random Field-based Filters:

Classes
class	itk::MRFImageFilter< TInputImage, TClassifiedImage >
class	itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >

Detailed Description

Markov Random Field (MRF)-based Filters assume that the segmented image is Markovian in nature, i.e., adjacent pixels are likely to be of the same class. These methods typically combine intensity-based filters with MRF prior models also known as Gibbs prior models.