Affine invariant classification and retrieval of texture images

Jianguo Zhang, Tieniu Tan

    Research output: Contribution to journalArticlepeer-review

    16 Citations (Scopus)


    In this paper, we propose a new method of extracting affine invariant texture signatures for content-based affine invariant image retrieval (CBAIR). The algorithm discussed in this paper exploits the spectral signatures of texture images. Based
    on spectral representation of affine transform, anisotropic scale invariant signatures of orientation spectrum distributions are extracted. Peaks distribution vector (PDV) obtained from signature distributions captures texture properties invariant to
    affine transform. The PDV is used to measure the similarity between textures. Extensive experimental results are included to demonstrate the performance of the method in texture classification and CBAIR.
    Original languageEnglish
    Pages (from-to)657-664
    Number of pages8
    JournalPattern Recognition
    Issue number3
    Publication statusPublished - Mar 2003


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