Orfeo Toolbox 4.0
|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...|
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.