• DocumentCode
    2002808
  • Title

    Wavelet Packet Denoising for Pavement Surface Cracks Detection

  • Author

    Zuo, Yongxia ; Wang, Guoqiang ; Zuo, Chuncheng

  • Author_Institution
    Coll. of Mech. Sci. & Eng., Jilin Univ., Changchun, China
  • Volume
    2
  • fYear
    2008
  • fDate
    13-17 Dec. 2008
  • Firstpage
    481
  • Lastpage
    484
  • Abstract
    Removing noise from pavement images to improve the quality of images is an important step of pavement image processing. A novel noise reduction method based on wavelet packet for pavement images is presented. Firstly, the image is transformed into a wavelet packet domain. Then using the semi-soft threshold to process wavelet packet coefficients can keep important image information and remove noise. Last, we reconstruct the image. Performance of the method has been tested on actual pavement images. From the experiment results, we see that the method effectively reduces the noise while preserving the edges in the original image.
  • Keywords
    crack detection; image denoising; object detection; road building; wavelet transforms; noise reduction method; pavement surface cracks detection; wavelet packet denoising; Continuous wavelet transforms; Discrete wavelet transforms; Image processing; Noise reduction; Smoothing methods; Surface cracks; Surface waves; Wavelet analysis; Wavelet packets; Wavelet transforms; noise reduction; pavement images; semi-soft threshold; wavelet packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2008. CIS '08. International Conference on
  • Conference_Location
    Suzhou
  • Print_ISBN
    978-0-7695-3508-1
  • Type

    conf

  • DOI
    10.1109/CIS.2008.208
  • Filename
    4724823