AUTOMATED PAVEMENT IMAGING PROGRAM (APIP) FOR PAVEMENT CRACKS CLASSIFICATION AND QUANTIFICATION

Authors

  • Othman Che Puan Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malysia
  • Mushairry Mustaffar Department of Environmental Engineering, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malysia
  • Tung-Chai Ling Department of Geotechnics and Transportation, Universiti Teknologi Malaysia, 81310 Johor Bahru, Johor, Malysia

DOI:

https://doi.org/10.11113/mjce.v19.15739

Keywords:

Pavement Distress, Crack, Classification, Quantification, Image Processing

Abstract

This paper describes the development of an Automated Pavement Imaging Program (APIP) for evaluating pavement distress condition. The digital image processing program enables longitudinal, transverse, and alligator cracks to be classified. Subsequently, the program automatically predicts types of cracks and estimates the crack intensity which can be used to rate pavement distress severity. Results obtained by this technique are compared with the conventional manual method to check accuracy. The algorithm developed in this study is capable of identifying types of cracks and the severity level at about 90% accuracy, which is similar to the accuracy obtained by the manual method.

References

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Published

2018-05-23

Issue

Section

Articles

How to Cite

AUTOMATED PAVEMENT IMAGING PROGRAM (APIP) FOR PAVEMENT CRACKS CLASSIFICATION AND QUANTIFICATION. (2018). Malaysian Journal of Civil Engineering, 19(1). https://doi.org/10.11113/mjce.v19.15739