Markov Random Field-based Filters
[Region-Based Segmentation Filters]

Collaboration diagram for Markov Random Field-based Filters:

---

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.

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 >

---