In this paper we introduce a novel edge-based, implicit approach for single object segmentation in 3D images. From a couple of curves, traced by the user on the object to be segmented, we implicitly generate a surface that contains the set of minimal paths joining them. These paths are minimal with respect to a cost function that takes lower values on the object to be extracted, hence they are within a small distance from it. Unlike other variational approaches, our method is not concerned with local minima traps. Our algorithm has been successfully applied to 3D medical images and synthetic images.


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    Title :

    Implicit surface segmentation by minimal paths, applications in 3D medical images


    Contributors:
    Ardon, R. (author) / Cohen, L.D. (author) / Yezzi, A. (author)


    Publication date :

    2005-01-01


    Size :

    1129029 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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