One of the hard problems in image recognition and understanding is region segmentation. A traditional segmentation method such as clustering is not fully useful for any image, because of the initial values of clusters and the evaluation functions of segmented clusters affect the results of region segmentation. To solve this problem, we introduce the genetic algorithm (GA) for clustering. The experimental result shows the satiable results of region segmentation which have been achieved by applying GA.<>


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    Title :

    Region segmentation using K-mean clustering and genetic algorithms


    Contributors:
    Horita, Y. (author) / Murai, T. (author) / Miyahara, M. (author)


    Publication date :

    1994-01-01


    Size :

    327456 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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