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Potts Compound Markovian Texture Model
- 1.0385300 - ÚTIA 2013 RIV US eng C - Conference Paper (international conference)
Haindl, Michal - Remeš, Václav - Havlíček, Vojtěch
Potts Compound Markovian Texture Model.
Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). Piscataway: IEEE Press, 2012, s. 29-32. ISBN 978-1-4673-2216-4.
[21st International Conference on Pattern Recognition (ICPR 2012). Tsukuba (JP), 11.11.2012-15.11.2012]
R&D Projects: GA ČR GAP103/11/0335; GA ČR GA102/08/0593
Grant - others:CESNET(CZ) 409/2011
Institutional support: RVO:67985556
Keywords : texture * Markov random field
Subject RIV: BD - Theory of Information
http://library.utia.cas.cz/separaty/2012/RO/haindl-potts compound markovian texture model.pdf
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.
Permanent Link: http://hdl.handle.net/11104/0007440
Number of the records: 1