We introduce the Anisotropic Diffusion Pyramid (ADP), a structure for multiresolution image processing. We also develop the ADP for use in region-based segmentation. The pyramid is constructed using the anisotropic diffusion equations, creating an efficient scale-space representation. Segmentation is accomplished using pyramid node linking. Since anisotropic diffusion preserves edge localization as the scale is increased, the region boundaries in the coarse-to-fine ADP segmentation are accurately delineated. An application to segmentation of remotely sensed data is provided. The results of ADP segmentation are compared to Gaussian-based pyramidal segmentation. The examples show that the ADP has a superior ability to subdivide the image into integral groupings, minimizing the error in boundary localization and in pixel intensity.<>


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    Title :

    Anisotropic diffusion pyramids for image segmentation


    Contributors:
    Acton, S.T. (author) / Bovik, A.C. (author) / Crawford, M.M. (author)


    Publication date :

    1994-01-01


    Size :

    446263 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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