A comparative study of two useful discrete-valued random fields for the statistical modeling of images

The author presents two interesting discrete-valued random fields for the statistical modeling and analysis of random images. The first random field, the mutually compatible Gibbs random field, is a special nontrivial case of a general Gibbs random field, whereas the second random field, the semi-Markov random field is a non-Markovian generalization of a mutually compatible Gibbs random field.<
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