Electro-optical imagery can have uniform characteristics that prevent it from being registered by conventional edge-based methods. Such uniform characteristics, if they have periodicity, can be exploited using multi-resolution texture extraction techniques. We first use a multi-resolution Markov model to represent electro-optical textures and apply an autoregressive statistical approach to find correspondence between two images. We then demonstrate how this approach reduces the computational complexity of registering of two successive frames of video.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A multiresolution approach for video texture registration


    Beteiligte:
    Bonneau, R.J. (Autor:in) / Novak, M.E. (Autor:in) / Perretta, J.S. (Autor:in) / Ertan, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    261932 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Multiresolution Approach for Video Texture Registration

    Bonneau, R. J. / Novak, M. E. / Perretta, J. S. et al. | British Library Conference Proceedings | 2001


    Novel unsupervised multiresolution texture segmentation approach [2223-34]

    Shirvaikar, M. V. / Trivedi, M. M. / SPIE | British Library Conference Proceedings | 1994


    Unsupervised multiresolution texture segmentation using wavelet decomposition

    Palisson, P. / Zegadi, N. / Peyrin, F. et al. | IEEE | 1994


    Multiresolution genetic clustering algorithm for texture segmentation

    Li, C. T. / Chiao, R. | British Library Online Contents | 2003


    Unsupervised Multiresolution Texture Segmentation using Wavelet Decomposition

    Palisson, P. / Zegadi, N. / Peyrin, F. et al. | British Library Conference Proceedings | 1994