We present some analysis techniques and indexing strategies aimed to support classification and retrieval of textures using only perceptual features. The goal of this research is to provide a visual system that, starting from graphical cues representing relevant perceptual features of texture, interactively searches the most similar texture in the set of candidates in the corresponding texture space. Hence, a set of relevant perceptual features, used for indexing, is proposed: directionality, contrast and coarseness. A graphical representation of the computed characteristics is presented together with some examples. Finally, texture retrieval experiments using such iconic representations are presented and discussed.


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    Title :

    Perceptive visual texture classification and retrieval


    Contributors:
    Battiato, S. (author) / Gallo, G. (author) / Nicotra, S. (author)


    Publication date :

    2003-01-01


    Size :

    3362671 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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