Miscibility Matrices Explain the Behavior of Grayscale Textures Generated by Gibbs Random Fields
نویسندگان
چکیده
This paper describes an original approach to the analysis and prediction of graylevel textures gen erated as equilibrium states of Gibbs Markov random elds This approach is physically mo tivated by the analogy that exists between the graylevel textures and the miscibility patterns of multiphase ows The physics of the situation is captured using miscibility matrices that are related to the co occurrence matrices classically used for texture discrimination Simulations are provided to motivate and illustrate our approach
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