Classifying and comparing regular textures for retrieval using texel geometry

Junwei Han, Stephen J. McKenna

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    6 Citations (Scopus)

    Abstract

    Regular textures can be modelled as consisting of periodic patterns where a fundamental unit, or texel, occurs repeatedly. This paper explores the use of a representation of texel geometry for classification and comparison of regular texture images. Texels are automatically extracted from images and the distribution of texel shape and orientation is modelled. The application of this model to image retrieval and browsing is discussed using examples from a database of art and textile images.

    Original languageEnglish
    Title of host publicationVISAPP 2009
    Subtitle of host publicationproceedings of the Fourth International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, February 5-8, 2009
    EditorsAlpesh Ranchordas, Helder Araujo
    Place of PublicationSetubal
    PublisherInstitute for Systems and Technologies of Information, Control and Communication
    Pages347-354
    Number of pages8
    Volume1
    ISBN (Print)9789898111692
    Publication statusPublished - 2009
    Event4th International Conference on Computer Vision Theory and Applications - Lisboa, Lisbon, Portugal
    Duration: 5 Feb 20098 Feb 2009
    http://www.visapp.visigrapp.org/VISAPP2009/

    Conference

    Conference4th International Conference on Computer Vision Theory and Applications
    Abbreviated titleVISAPP 2009
    CountryPortugal
    CityLisbon
    Period5/02/098/02/09
    Internet address

    Keywords

    • Regular texture
    • Texel geometry
    • Texel classification
    • Texel comparison
    • Periodicity
    • Model
    • Features

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