0411022 20240103182256.220060210235959.9 13 s. cav_un_epca*02564390167-947341603-615Elsevier discrete distribution mixtures EM algorithm texture modelling cav_un_auth*0101091 Grim Jiří UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101093 Haindl Michal UTIA-B Department of Pattern Recognition Ústav teorie informace a automatizace AV ČR, v. v. i. 09H 12B 09K GA102/00/0030 GA ČR cav_un_auth*0004016 KSK1019101 GA AV ČR cav_un_auth*0000219 CEZ:AV0Z1075907 A new method of texture modelling based on discrete distribution mixtures is proposed to enable the texture analysis in the original quantized gray level coding. Unlike some alternative approaches the statistical properties of textures are modelled by a discrete distribution mixture of product components. The univariate distributions in the products are represented by vectors of probabilities without any constrains. The texture synthesis is based on easy computation of marginal distributions. JC RO http://hdl.handle.net/11104/0131109 UTIA-B 20030009 2003 cav_un_epca*0256439 Computational Statistics and Data Analysis 0167-9473 1872-7352 Roč. 41 3-4 2003 603 615 Elsevier