Paper
1 February 1991 Miscibility matrices explain the behavior of gray-scale textures generated by Gibbs random fields
Ibrahim M. Elfadel, Rosalind W. Picard
Author Affiliations +
Proceedings Volume 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques; (1991) https://doi.org/10.1117/12.25182
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ibrahim M. Elfadel and Rosalind W. Picard "Miscibility matrices explain the behavior of gray-scale textures generated by Gibbs random fields", Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); https://doi.org/10.1117/12.25182
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Cited by 9 scholarly publications.
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KEYWORDS
Matrices

Magnetorheological finishing

Robots

Computer vision technology

Machine vision

Robot vision

Optimization (mathematics)

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