This paper describes a new method for fuzzy segmentation based on spatial constraints. Taking into account the neighborhood influence two techniques are used. First a new feature is derived from Peano scans to represent a spatial relationship among neighbors. Second we incorporate a regularization term to fuzzy C-means algorithm (FCM). The algorithm is tested on both synthetic and multispectral images. Experimental results are presented and discussed. They show the effectiveness of the method.


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    Title :

    A modified FCM with optimal Peano scans for image segmentation


    Contributors:


    Publication date :

    2005-01-01


    Size :

    139765 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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