Affine invariant texture signatures

Jianguo Zhang, Tieniu Tan

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

    3 Citations (Scopus)

    Abstract

    We develop a new approach for texture classification independent of affine transforms. Based on a spectral representation of texture images under affine transform, anisotropic scale invariant signatures of the orientation spectrum distribution are extracted. A peaks distribution vector (PDV) obtained on the distribution of these signatures captures texture properties invariant to affine distortion. The PDV is used to measure the similarity between textures. Experimental results show the efficiency of the PDV for affine invariant texture classification
    Original languageEnglish
    Title of host publication Proceedings. 2001 International Conference on Image Processing
    PublisherIEEE
    Pages618-621
    Number of pages4
    Volume2
    ISBN (Print)0780367251
    DOIs
    Publication statusPublished - 2001
    Event2001 International Conference on Image Processing - Thessaloniki, Thessaloniki, Greece
    Duration: 7 Oct 200110 Oct 2001

    Conference

    Conference2001 International Conference on Image Processing
    Abbreviated titleICIP 2001
    CountryGreece
    CityThessaloniki
    Period7/10/0110/10/01

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  • Cite this

    Zhang, J., & Tan, T. (2001). Affine invariant texture signatures. In Proceedings. 2001 International Conference on Image Processing (Vol. 2, pp. 618-621). IEEE. https://doi.org/10.1109/ICIP.2001.958569