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Texture modelling by discrete distribution mixtures

SYSNO ASEP	0411022
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Ostatní články
Title	Texture modelling by discrete distribution mixtures
Author(s)	Grim, Jiří (UTIA-B)_{RID, ORCID} Haindl, Michal (UTIA-B)_{RID, ORCID}
Source Title	Computational Statistics and Data Analysis. - : Elsevier - ISSN 0167-9473 Roč. 41, 3-4 (2003), s. 603-615
Number of pages	13 s.
Language	eng - English
Country	NL - Netherlands
Keywords	discrete distribution mixtures ; EM algorithm ; texture modelling
Subject RIV	JC - Computer Hardware ; Software
R&D Projects	GA102/00/0030 GA ČR - Czech Science Foundation (CSF)
	KSK1019101 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
CEZ	AV0Z1075907 - UTIA-B
Annotation	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.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1