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