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Potts Compound Markovian Texture Model
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SYSNO ASEP 0385300 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Potts Compound Markovian Texture Model Author(s) Haindl, Michal (UTIA-B) RID, ORCID
Remeš, Václav (UTIA-B) RID
Havlíček, Vojtěch (UTIA-B) RIDNumber of authors 3 Source Title Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). - Piscataway : IEEE Press, 2012 - ISBN 978-1-4673-2216-4 Pages s. 29-32 Number of pages 4 s. Publication form Print - P Action 21st International Conference on Pattern Recognition (ICPR 2012) Event date 11.11.2012-15.11.2012 VEvent location Tsukuba Country JP - Japan Event type WRD Language eng - English Country US - United States Keywords texture ; Markov random field Subject RIV BD - Theory of Information R&D Projects GAP103/11/0335 GA ČR - Czech Science Foundation (CSF) GA102/08/0593 GA ČR - Czech Science Foundation (CSF) Institutional support UTIA-B - RVO:67985556 Annotation This paper describes a novel multispectral parametric compound Markov random field model for texture synthesis. The proposed compound Markov random field model connects a parametric control random field represented by a hierarchical Potts Markov random field model with analytically solvable wide-sense Markovian representation for single regions. The compound random field synthesis combines the modified fast Swendsen-Wang Markov Chain Monte Carlo sampling of the hierarchical Potts MRF part with the fast and analytical synthesis of single regional MRFs. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2013
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