bibtype J - Journal Article
ARLID 0411022
utime 20240103182256.2
mtime 20060210235959.9
title (primary) (eng) Texture modelling by discrete distribution mixtures
specification
page_count 13 s.
serial
ARLID cav_un_epca*0256439
ISSN 0167-9473
title Computational Statistics and Data Analysis
volume_id 41
page_num 603-615
publisher
name Elsevier
keyword discrete distribution mixtures
keyword EM algorithm
keyword texture modelling
author (primary)
ARLID cav_un_auth*0101091
name1 Grim
name2 Jiří
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101093
name1 Haindl
name2 Michal
institution UTIA-B
full_dept Department of Pattern Recognition
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 09H
COSATI 12B
COSATI 09K
cas_special
project
project_id GA102/00/0030
agency GA ČR
ARLID cav_un_auth*0004016
project
project_id KSK1019101
agency GA AV ČR
ARLID cav_un_auth*0000219
research CEZ:AV0Z1075907
abstract (eng) 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.
RIV JC
department RO
permalink http://hdl.handle.net/11104/0131109
ID_orig UTIA-B 20030009
arlyear 2003
mrcbU63 cav_un_epca*0256439 Computational Statistics and Data Analysis 0167-9473 1872-7352 Roč. 41 3-4 2003 603 615 Elsevier