Conventional visual and manual analysis approaches to pavement crack detection are costly, time-consuming, labor-intensive, and subjective. This paper proposed a scheme of automated detection of asphalt pavement surface images. Image enhancement based on mathematical morphologic operations was first performed, then the image is segmented based on the threshold method. The main idea of the proposed image segmentation method is that the threshold values of gray-level pavement images are strongly related with the values of the mean and standard deviation of the pixel intensities. The experimental results have demonstrated that the proposed approach can determine the threshold values accurately and quickly.


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    Title :

    Mathematical Morphology Based Asphalt Pavement Crack Detection


    Contributors:
    Wei, Na (author) / Zhao, Xiangmo (author) / Wang, Tao (author) / Song, Hongxun (author)

    Conference:

    Second International Conference on Transportation Engineering ; 2009 ; Southwest Jiaotong University, Chengdu, China



    Publication date :

    2009-07-29




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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