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

Compounds
class	GibbsPriorFilter
class	MRFImageFilter
	Implementation of a labeller object that uses Markov Random Fields to classify pixels in an image data set. More...
class	RGBGibbsPriorFilter

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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.

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