Image Analysis for Automated Pavement Cracking Evaluation

نویسندگان

  • Hideki Shimamura
  • Kazuhiro Oonuma
  • Yoshizumi Yasuda
چکیده

Image processing technology plays an important part in the analysis and evaluation of pavement surface cracking. The pattern recognition method for crack geometry proposed in this paper makes it possible to extract data necessary for evaluating the extent and severity of cracking quantitatively. In this newly developed method, low-resolution images are used first to extract crack regions, and then high-resolution images are used to identify the type of crack. The method proved to be effective when used for areas containing two or more types of crack.

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تاریخ انتشار 1994