• DocumentCode
    3583430
  • Title

    Recognition of pavement surface crack

  • Author

    Zhang, Pengyu ; Li, Hong

  • Author_Institution
    Electr. & Inf. Eng. Inst., Changsha Univ. of Sci. & Technol., Changsha, China
  • Volume
    7
  • fYear
    2010
  • Firstpage
    3393
  • Lastpage
    3396
  • Abstract
    This article describes the pavement crack detection system architecture shows the hardware options and rationale, as well as the system works. This paper uses the median of the road image de-noising filter. In contrast to edge detection sobel and prewitt operator to verify the validity and advantages of the sobel. Finally, in the crack after the image is binary, crack an image feature extraction and recognition.
  • Keywords
    edge detection; feature extraction; image denoising; roads; surface cracks; traffic engineering computing; edge detection; image feature extraction; pavement surface crack recognition; prewitt operator; road image denoising filter; sobel operator; Feature extraction; Gray-scale; Image edge detection; Image segmentation; Pixel; Roads; Surface cracks; component; edge-based; image de-noising; road crack;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2010 Sixth International Conference on
  • Print_ISBN
    978-1-4244-5958-2
  • Type

    conf

  • DOI
    10.1109/ICNC.2010.5583689
  • Filename
    5583689