Publication details

Potts Compound Markovian Texture Model

Conference Paper (international conference)

Haindl Michal, Remeš Václav, Havlíček Vojtěch


serial: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), p. 29-32

action: 21st International Conference on Pattern Recognition (ICPR 2012), (Tsukuba, JP, 11.11.2012-15.11.2012)

project(s): 409/2011, CESNET, GAP103/11/0335, GA ČR, GA102/08/0593, GA ČR

keywords: texture, Markov random field

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abstract (eng):

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.

RIV: BD