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Modeling image textures by Gibbs random fields
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DOI：10.1016/S0167-8655(99)00079-3.png)
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Abstract
En 中文
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario based on Controllable Simulated Annealing is described. The latter scenario uses an analytic and stochastic approximation of Gibbs potentials to minimize a distance between the selected gray level co-occurrence or difference histograms for a given training sample and the simulated images. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
image modeling
Gibbs random field
stochastic texture
stochastic approximation
controllable simulated annealing
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