Number of the records: 1  

Colour texture segmentation using modelling approach

  1. 1.
    SYSNO ASEP0411406
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JOstatní články
    TitleColour texture segmentation using modelling approach
    TitleSegmentace barevných textur pomocí modelovacího přístupu
    Author(s) Haindl, Michal (UTIA-B) RID, ORCID
    Mikeš, Stanislav (UTIA-B) RID
    Source TitlePattern Recognition and Image Analysis - ISSN 0302-9743
    Roč. 3687, č. - (2005), s. 484-491
    Number of pages8 s.
    ActionInternational Conference on Advances in Pattern Recognition /3./
    Event date22.08.2005-25.08.2005
    VEvent locationBath
    CountryGB - United Kingdom
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    Keywordscolour texture segmentation ; image models ; segmentation benchmark
    Subject RIVBD - Theory of Information
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    1ET400750407 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    IAA2075302 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationA fast and robust type of unsupervised multispectral texture segmentation method with unknown number of classes is presented. Single decorrelated monospectral texture factors are represented by four local autoregressive random field models recursively evaluated for each pixel and for each spectral band. The segmentation algorithm is based on the underlying Gaussian mixture model and starts with an oversegmented initial estimation which is adaptively modified until the optimal number of segments is found.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2006

Number of the records: 1  

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