We present a new segmentation approach by thresholding based on learning strategy. This strategy is based only on one image and its ideal thresholded version. A decision matrix is generated from each pixel and each gray level. At the moment of new image segmentation, the best solution for each pixel is evaluated by means of K nearest neighbors in the decision matrix. Comparative tests were performed on signature, fingerprint and magnetic resonance images.


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    Title :

    Segmentation approach by learning: different image applications


    Contributors:


    Publication date :

    2003-01-01


    Size :

    760186 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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