0385300 20240103201734.120121220235959.9 4 s. P cav_un_epca*0384215978-1-4673-2216-429-32PiscatawayIEEE Press2012 texture Markov random field cav_un_auth*0101093 Haindl Michal Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0286710 Remeš Václav Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101100 Havlíček Vojtěch Rozpoznávání obrazu Department of Pattern Recognition RO RO UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2012/RO/haindl-potts compound markovian texture model.pdf 409/2011 CESNET CZ GAP103/11/0335 GA ČR cav_un_auth*0273627 GA102/08/0593 GA ČR cav_un_auth*0239567 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. cav_un_auth*0286711 21st International Conference on Pattern Recognition (ICPR 2012) Tsukuba 11.11.2012-15.11.2012 JP 2013 BD 3 PR RVO:67985556 http://hdl.handle.net/11104/0007440 2012 cav_un_epca*0384215 Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012) 978-1-4673-2216-4 29 32 Piscataway IEEE Press 2012 IEEE Catalog Number : CFP12182-USB