Presents a knowledge-based method for segmenting color images of road scenes. The knowledge base contains color and texture representations of objects typically found in such scenes. The segmentation algorithm uses the knowledge base to classify each image region according to its chromaticity and fractal dimension. A key feature of the texture classifier is its robustness with respect to image scale and contrast. We also discuss extensions of our method to other applications.<>


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    Title :

    Segmentation of road scenes using color and fractal-based texture classification


    Contributors:
    She, A.C. (author) / Huang, T.S. (author)


    Publication date :

    1994-01-01


    Size :

    412972 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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