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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    Title :

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


    Contributors:
    Gunsel, B. (author) / Panayirci, E. (author)


    Publication date :

    1994-01-01


    Size :

    586474 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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