The paper describes a new algorithm for image segmentation. It is based on a genetic approach that allow us to consider the segmentation problem as a global optimization problem (GOP). For this purpose, a fitness function, based on the similarity between images, has been defined. The similarity is a function of both the intensity and the spatial position of pixels. Preliminary results, obtained using real images, show a good performance of the segmentation algorithm.


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    Title :

    A genetic algorithm for image segmentation


    Contributors:


    Publication date :

    2001-01-01


    Size :

    401891 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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