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Texture modelling by discrete distribution mixtures.

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F03%3A16030009" target="_blank" >RIV/67985556:_____/03:16030009 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Texture modelling by discrete distribution mixtures.

  • Original language description

    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 adiscrete 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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2003

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Computational Statistics & Data Analysis

  • ISSN

    0167-9473

  • e-ISSN

  • Volume of the periodical

    41

  • Issue of the periodical within the volume

    3-4

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    603-615

  • UT code for WoS article

  • EID of the result in the Scopus database