Miscibility matrices explain the behavior of grayscale textures generated by Gibbs random fields

I. M. Elfadel, R. W. Picard

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

This paper describes an original approach to the analysis and prediction of graylevel textures generated as equilibrium states of Gibbs/Markov random fields. This approach is physically motivated by the analogy that exists between the graylevel textures and the miscibility patterns of multiphase flows. 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.

Original languageBritish English
Pages (from-to)524-535
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume1381
StatePublished - 1991
EventIntelligent Robots and Computer Vision IX: Algorithms and Techniques - Boston, MA, USA
Duration: 5 Nov 19907 Nov 1990

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