A number of different approaches have been presented in the recent past addressing the issue of image retrieval using color and texture features. Most of these methods are based on elaborate mathematical modeling, including auto/cross-correlation, random fields, and Gabor multi-channel filtering. Furthermore, the computational requirements of these approaches are usually high. A much simpler yet effective method for color texture retrieval is presented here. The method uses the chromaticity diagram (x, y) and a corresponding set of two-dimensional and three-dimensional moments to characterize a given color texture. Chromaticity is thus described by its 2-D shape on the x-y coordinate system and the associated 3-D histogram. Using a relatively small number of moments the method achieves retrieval rates of over 90%. The method has been applied to the retrieval of granite and marble images.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Image retrieval based on chromaticity moments


    Beteiligte:
    Paschos, G. (Autor:in) / Radev, I. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    1170296 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image Retrieval based on Chromaticity Moments

    Paschos, G. / Radev, I. / IEEE | British Library Conference Proceedings | 1999



    Illumination Chromaticity Estimation Using Inverse-Intensity Chromaticity Space

    Tan, R. / Nishino, K. / Ikeuchi, K. et al. | British Library Conference Proceedings | 2003


    Consensus-based framework for illuminant chromaticity estimation

    Bianco, S. / Gasparini, F. / Schettini, R. | British Library Online Contents | 2008