Modeling Image Textures by Gibbs Random Fields

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.

• Type: Journal
• Year: 1999
• Where: Pattern Recognition Letters
• Authors: Georgy Gimel'farb
• Keywords: Gibbs Random Field, Image Modeling, Markov Random Fields (MRF), Simulated Annealing, Stochastic Texture