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Proceedings Paper

Markov/Gibbs modeling: texture and temperature
Author(s): Rosalind W. Picard; Alexander P. Pentland
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Paper Abstract

Markov/Gibbs random fields have been used for posing a variety of computer vision and image processing problems. Many of these problems are then solved using a simulated annealing type of method which involves the varying of the temperature, a scale parameter for the model. In this paper we analyze the effect of temperature on random field texture patterns. We obtain new results relating structure in the texture co-occurrence matrix to temperature. We also show the existence of multiple transition temperatures which delimit regions of different bandwidth in the co-occurrence matrix, and hence can be used to control pattern formation.

Paper Details

Date Published: 1 February 1992
PDF: 12 pages
Proc. SPIE 1607, Intelligent Robots and Computer Vision X: Algorithms and Techniques, (1 February 1992); doi: 10.1117/12.57043
Show Author Affiliations
Rosalind W. Picard, Media Lab./MIT (United States)
Alexander P. Pentland, Media Lab./MIT (United States)

Published in SPIE Proceedings Vol. 1607:
Intelligent Robots and Computer Vision X: Algorithms and Techniques
David P. Casasent, Editor(s)

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