• DocumentCode
    2557903
  • Title

    Illumination Invariant Enhancement and Threshold Segmentation Algorithm for Asphalt Pavement Crack Image

  • Author

    Zhou, Huilin ; Yang, Shu ; Zhu, Jian

  • Author_Institution
    Dept. of Electron. Inf. Eng., Nanchang Univ., Nanchang, China
  • fYear
    2010
  • fDate
    23-25 Sept. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The non-uniform illumination and irregularities in the surface of asphalt pavement make the conventional image enhancement and segmentation algorithm fail. In order to address these problems, we present an illumination invariant image enhancement and segmentation algorithm, which are crucial for feature extraction and classification of pavement crack image. The experimental results based on measured image by CCD camera on vehicle show that the presented algorithm is very effective for the illumination invariant and the irregularities in the surface of asphalt pavement.
  • Keywords
    CCD image sensors; asphalt; condition monitoring; cracks; feature extraction; image enhancement; image segmentation; roads; structural engineering computing; CCD camera; asphalt pavement crack image classification; feature extraction; illumination invariant image enhancement algorithm; threshold image segmentation algorithm; Asphalt; Feature extraction; Image enhancement; Image segmentation; Lighting; Noise; Surface cracks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-3708-5
  • Electronic_ISBN
    978-1-4244-3709-2
  • Type

    conf

  • DOI
    10.1109/WICOM.2010.5600853
  • Filename
    5600853