A nonlinear Markov random field (MRF) model-based segmentation method that uses multiscale MRF representations is developed. The proposed method labels the surface boundaries at a variety of spatial scales while labeling the surfaces, therefore it merges the advantages of region-based and edge-based segmentation approaches. The scheme is capable of fusing boundary information obtained at multiple scales simultaneously, resulting in a robust segmentation of range and intensity images.<>


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    Titel :

    Segmentation of range and intensity images using multiscale Markov random field representations


    Beteiligte:
    Gunsel, B. (Autor:in) / Panayirci, E. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    586474 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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