Evaluation of color representation for texture analysis

E.L. van den Broek, E.M. van Rikxoort

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    Since more than 50 years texture in image material is a topic of research. Hereby, color was ignored mostly. This study compares 70 different configurations for texture analysis, using four features. For the configurations we used: (i) a gray value texture descriptor: the co-occurrence matrix and a color texture descriptor: the color correlogram, (ii) six color spaces, and (iii) several quantization schemes. A three classifier combination was used to classify the output of the configurations on the VisTex texture database. The results indicate that the use of a coarse HSV color space quantization can substantially improve texture recognition compared to various other gray and color quantization schemes.
    Original languageEnglish
    Title of host publicationBNAIC'04
    Subtitle of host publicationProceedings of the 16th Belgium-Netherlands Conference on Artificial Intelligence, University of Groningen, 21-22 October, 2004
    EditorsRineke Verbrugge, Niels Taatgen, Lambert Schomaker
    Place of PublicationGroningen
    PublisherUniversity of Groningen
    Number of pages8
    Publication statusPublished - 2004
    Event16th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2004 - Groningen, Netherlands
    Duration: 21 Oct 200422 Oct 2004
    Conference number: 16

    Publication series

    NameBNAIC proceedings
    ISSN (Print)1568-7805


    Conference16th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2004
    Abbreviated titleBNAIC


    • HMI-VRG: Virtual Reality and Graphics
    • HMI-HF: Human Factors
    • HMI-CI: Computational Intelligence
    • Co-occurence matrix
    • Color correlogram
    • Color
    • Pattern recognition
    • Texture
    • Classification
    • Evaluation

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