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Proceedings Paper

Miscibility matrices explain the behavior of gray-scale textures generated by Gibbs random fields
Author(s): Ibrahim M. Elfadel; Rosalind W. Picard
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Paper 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.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25182
Show Author Affiliations
Ibrahim M. Elfadel, Massachusetts Institute of Technology (United States)
Rosalind W. Picard, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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