In this paper, we present a segmentation method that provides perceptually relevant partitions without any a priori knowledge of the image content: first a local homogeneity analysis detects the image areas that have to be segmented. Then segmentation using a similarity criterion is locally performed. At last, segmented regions are grouped using Gestalt criteria. The whole method is presented in a hierarchical framework.


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    Title :

    Similarity-based and perception-based image segmentation


    Contributors:
    Huart, J. (author) / Bertolino, P. (author)


    Publication date :

    2005-01-01


    Size :

    197124 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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