A circular histogram thresholding for color image segmentation is proposed. A circular hue histogram is first constructed based on a UCS (I,H,S) color space. The histogram is automatically smoothed by a scale-space filter, then transformed into traditional histogram form, and finally recursively thresholded based on the maximum principle of variance. Three comparisons of performance are reported: (i) the proposed thresholding on the circular histogram with that on a traditional histogram; (ii) the proposed thresholding with clustering; and (iii) thresholding based on a UCS hue attribute with that based on a non-UCS hue attribute. Benefits of the proposed approach are confirmed in experiments.


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    Title :

    Circular histogram thresholding for color image segmentation


    Contributors:


    Publication date :

    1995-01-01


    Size :

    558370 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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