The edges of an image can be detected at different scales from the local maxima of its wavelet transform. an algorithm is described that reconstructs images from their edges at dyadic scales. The wavelet maxima representation is a novel reorganization of the image information that makes it possible to develop algorithms uniquely based on edges for solving image processing and computer vision problems. The evolution of the wavelet maxima across scales gives a precise characterization of the edge type which can be used for pattern recognition. A coding algorithm is described that selects the most important image edges in order to obtain a compact representation.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Compact image representation from multiscale edges


    Beteiligte:
    Zhong, S. (Autor:in) / Mallat, S. (Autor:in)


    Erscheinungsdatum :

    01.01.1990


    Format / Umfang :

    408943 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Image fusion algorithm based on multiscale edges

    Xiaojuan, L. / Wei, Z. | British Library Online Contents | 2007


    Multiscale Fundamental Forms: A Multimodal Image Wavelet Representation

    Scheunders, P. / IEEE | British Library Conference Proceedings | 2001



    A multiscale hybrid linear model for lossy image representation

    Wei Hong, / Wright, J. / Kun Huang, et al. | IEEE | 2005


    Shape Representation and Recognition from Multiscale Curvature

    Dudek, G. / Tsotsos, J. K. | British Library Online Contents | 1997