Surface Distresses Detection of Pavement Based on Digital Image Processing

Conference object English OPEN
Ouyang , Aiguo ; Luo , Chagen ; Zhou , Chao (2010)
  • Publisher: Springer
  • Related identifiers: doi: 10.1007/978-3-642-18369-0_42
  • Subject: Digital Image processing | Image segmentation | [ INFO ] Computer Science [cs] | Edge detection | Crack detection
    acm: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

International audience; Pavement crack is the main form of early diseases of pavement. The use of digital photography to record pavement images and subsequent crack detection and classification has undergone continuous improvements over the past decade. Digital image processing has been applied to detect the pavement crack for its advantages of large amount of information and automatic detection. The applications of digital image processing in pavement crack detection, distresses classification and evaluation were reviewed in the paper. The key problems were analyzed, such as image enhancement, image segmentation and edge detection. The experiment results of the commonly used algorithms forcefully supported following conclusion: the noise in pavement crack images is effectively removed by median filtering, the histogram modification technique is a useable segmentation approach, the canny edge detection is an ideal identification approach of pavement distresses.
  • References (1)

    Oregon State University. Ph.D. Thesis. (1998) Cheng, H. D., Miyojim, M.: Automatic pavementdistress detection system. Journal of Information Sciences. 108, pp. 219--240 (1998) T. R. B. E. NCHRP synthesis 334: Automated Pavement Distress Collection Techniques.

  • Metrics
    No metrics available
Share - Bookmark