Advertisement

Surface Distresses Detection of Pavement Based on Digital Image Processing

  • Aiguo Ouyang
  • Chagen Luo
  • Chao Zhou
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 347)

Abstract

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.

Keywords

Digital Image processing Crack detection Edge detection Image segmentation 

References

  1. 1.
    Kim, J.: Development of a Low-Cost Video ImagingSystem for Pavement Evaluation. Oregon State University. Ph.D. Thesis (1998)Google Scholar
  2. 2.
    Cheng, H.D., Miyojim, M.: Automatic pavementdistress detection system. Journal of Information Sciences 108, 219–240 (1998)CrossRefGoogle Scholar
  3. 3.
    T.R.B.E. NCHRP synthesis 334: Automated Pavement Distress Collection Techniques. Transportation Research Board of the National Academies, Washington, D.C. (2004)Google Scholar
  4. 4.
    Ye, G.R., Zhou, Q.S., Lin, X.W.: Measurement of Surface Crack Width Based on Digital Image Processing. Journal of Highway and Transportation Research and Development 27, 75–78 (2010) (in Chinese)Google Scholar
  5. 5.
    Li, Q.Q., Hu, Q.W.: A Pavement Crack Image Analysis Approach Based on Automatic Image Dodging  27, 1–5 (2010) (in Chinese)Google Scholar
  6. 6.
    Wang, R.B., Wang, C., Chu, X.M.: Developments of Research on Road Pavement Surface Distress Image Recognition. Journal of Jilin University (Engineering and Technology Edition) 32, 91–97 (2002) (in Chinese) Google Scholar
  7. 7.
    Zhang, J.: Study on Pavement Crack Identification and Evaluation Technology Based on digital Image Processing. Chang’an University. Ph.D. Thesis (2004) (in Chinese)Google Scholar
  8. 8.
    Chu, X.M., Yan, X.P.: The Automatic Search of Pavement Surface Distress Image Based on on-line Learning. In: International Conference on Transportation Engineering 2007 (ICTE 2007), vol. 246, pp. 3282–3287 (2007)Google Scholar
  9. 9.
    Tsail, Y.C., Kaul, V., Russell, M.M.: Critical Assessment of Pavement Distress Segmentation Methods. Journal of Transportation Engineering 136, 11–19 (2010)CrossRefGoogle Scholar
  10. 10.
    Haas, R., Hudson, W.R., Zaniewski, J.: Modem Pavement Management. Krieger Publishing Company, Malabar (1994)Google Scholar
  11. 11.
    Shahin, M.Y.: Pavement Management for Airport, Roads and Parking Lots. Chapman & Hall, New York (1994)Google Scholar
  12. 12.
    Jitprasithsiri: Development of a New Digital Pavement Image Processing Algorithm for Unified Crack Index Computation. University of Utah. Ph.D. Thesis (1997)Google Scholar
  13. 13.
    Mustaffara, M., Lingb, T.C., Puanb, O.C.: Automated Pavement Imaging Grogram (APIP) for Pavement Cracks Classification and Quantification-A Photogrammetric Approach. The International Archives of the Photogrammetry. Remote Sensing and Spatial Information Sciences 37, 362–372 (2008)Google Scholar
  14. 14.
    Canny, J.: A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 8, 679–698 (1986)CrossRefGoogle Scholar
  15. 15.
    Hawks, N.F., Teng, T.P., Bellinger, W.Y., Rogers, R.B., Baker, C., Brosseau, K.L., Humphrey, L.C.: Distress Identification Manual for the Long-Term Pavement Performance Project, SHRP-P-338. National Research Council, Washington, D.C. (1993)Google Scholar
  16. 16.
    Paterson, W.D.: Proposal of Universal Cracking Indicator for Pavements. Transportation Research Record 1455, TRB, National Research Council, Washington, D.C., pp.69–76 (1994)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2011

Authors and Affiliations

  • Aiguo Ouyang
    • 1
  • Chagen Luo
    • 1
  • Chao Zhou
    • 2
  1. 1.Key Laboratory of Conveyance and Equipment, Ministry of EducationEast China Jiaotong UniversityNanchangChina
  2. 2.Jiangxi Agricultural UniversityNanchangChina

Personalised recommendations