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Texture Analysis by Accurate Identification of a Generic Markov–Gibbs Model.
- Source :
- Applied Pattern Recognition; 2008, p221-245, 25p
- Publication Year :
- 2008
-
Abstract
- A number of applied problems are effectively solved with simple Markov-Gibbs random field (MGRF) models of spatially homogeneous or piecewise-homogeneous images provided that their identification (parameter estimation) is able to focus such a prior on a particular class of images. We propose more accurate analytical potential estimates for a generic MGRF with multiple pairwise pixel interaction and use them for structural analysis and synthesis of stochastic and periodic image textures. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540768302
- Database :
- Complementary Index
- Journal :
- Applied Pattern Recognition
- Publication Type :
- Book
- Accession number :
- 76876268
- Full Text :
- https://doi.org/10.1007/978-3-540-76831-9_9