• DocumentCode
    3190088
  • Title

    Beamlet Transform Based Pavement Image Crack Detection

  • Author

    Wei, Na ; Zhao, Xiangmo ; Dou, XiaoYu ; Song, HongXun ; Wang, Tao

  • Author_Institution
    Coll. of Inf. Eng., Chang´´an Univ., Xi´´an, China
  • Volume
    1
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    881
  • Lastpage
    883
  • Abstract
    The complex nature of road images and weak signal make the detection of pavement cracks particularly difficult. An algorithm for pavement cracks detection based on Beamlet Transform is proposed. Beamlet transform is a new tool for high dimensional singularity analysis. First, the pavement surface image was segmented into unit image and transformed to binary image. Then beamlet transform was performed. Experimental results show the proposed method is effective in detecting line features with any orientation, location and length in pavement images. Compared with traditional edge detectors, the proposed method has the ability of anti-noise and linear connection.
  • Keywords
    crack detection; edge detection; image segmentation; roads; structural engineering; surface cracks; wavelet transforms; beamlet transform; edge detection; image segmentation; pavement image; singularity analysis; surface crack detection; Asphalt; Automation; Education; Educational institutions; Image edge detection; Image segmentation; Information technology; Road transportation; Surface cracks; Vehicle detection; beamlet transform; crack detection; multi-scale analysis; pavement surface image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.755
  • Filename
    5522600