Affine invariant texture analysis based on structural properties

Jianguo Zhang, Tieniu Tan

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


    This paper presents a new texture analysis method based on structural properties. The texture features extracted using this algorithm are invariant to affine transform (including rotation, translation, scaling, and skewing). Affine invariant structural properties are derived based on texel areas. An area-ratio map utilizing these properties is introduced to characterize texture images. Histogram based on this map is constructed for texture classification. Efficiency of this algorithm for affine invariant texture classification is demonstrated using Brodatz textures.
    Original languageEnglish
    Title of host publicationProceedings of the Fifth Asian Conference on Computer Vision (ACCV 2002)
    EditorsAlireza Bab-Hadiashar, David Suter
    PublisherAsian Federation of Computer Vision Societies
    Number of pages6
    ISBN (Print)9780958025607, 0958025606
    Publication statusPublished - 2002
    EventACCV2002: The 5th Asian Conference on Computer Vision - Melbourne, Melbourne, Australia
    Duration: 23 Jan 200225 Jan 2002


    ConferenceACCV2002: The 5th Asian Conference on Computer Vision


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