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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    Titel :

    Perceptive visual texture classification and retrieval


    Beteiligte:
    Battiato, S. (Autor:in) / Gallo, G. (Autor:in) / Nicotra, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    3362671 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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