• DocumentCode
    3745719
  • Title

    Research on Crack Detection Method of Airport Runway Based on Twice-Threshold Segmentation

  • Author

    Li Peng;Wang Chao;Li Shuangmiao;Feng Baocai

  • Author_Institution
    Coll. of Autom., Harbin Engineering Univ., Harbin, China
  • fYear
    2015
  • Firstpage
    1716
  • Lastpage
    1720
  • Abstract
    In airport runway pavement crack detection, sign and marking on the runway pavement often disturb crack detection. They may even be mistaken for crack and result in lower accuracy. The crack detection based on twice-threshold segmentation technology is presented in this paper. Firstly, the road marking in the runway image are removed by using improved Otsu threshold segmentation algorithm. Secondly, the image after removed the marking is segmented by the improved adaptive iterative threshold segmentation algorithm to get the crack image. Finally, the image is denoise, and the final crack image is obtained. This method can effectively detect the crack in runway images containing road marking. The simulation experiments verify the effectiveness of the method and the algorithm has the higher precision.
  • Keywords
    "Image segmentation","Iterative methods","Roads","Histograms","Algorithm design and analysis","Airports"
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2015 Fifth International Conference on
  • Type

    conf

  • DOI
    10.1109/IMCCC.2015.364
  • Filename
    7406145