A method of generating edge maps thereby segmenting an image into regions based on the Student t-test is presented. By applying this test to compare the distribution functions of the intensities in the neighborhood of a given pixel, the pixel can be accurately classified as either an edge pixel on the boundary between regions, or as a pixel of a particular type of regions. The results show that using 5/spl times/5 window, this method robustly segments both synthetic and natural images, and maintains this performance in the presence of additive noise.<>


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    Title :

    A new edge detection algorithm based on a statistical approach


    Contributors:


    Publication date :

    1994-01-01


    Size :

    306105 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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