Thresholding is the basic way for traffic image processing. Two-dimensional (2-D) thresholding methods can get better results. They used a threshold vector to divide a 2-D histogram into object, background, edge/noise three parts. Object and background parts were the common parts of grayscale information and spatial information. Mutual information focuses on studying the cross-section between entropies of two distributions, so it was considered to improve some disadvantages of the current 2-D thresholding methods. Experimental results showed that the proposed method could get better results.


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    Title :

    Traffic image segmentation based on maximum posteriori mutual information


    Contributors:
    Cao, Li (author) / Shi, Zhong-ke (author) / Chen, Wen (author)


    Publication date :

    2009-06-01


    Size :

    1495723 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Image Segmentation Based on Maximum Posteriori Mutual Information

    Cao, L. / Shi, Z.-k. / Chen, W. | British Library Conference Proceedings | 2009



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