• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 30 Issue 2
Apr.  2017
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Article Contents
YANG Enhui, ZHANG Aonan, DING Shihai, WANG Kelvin C. P.. Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling[J]. Journal of Southwest Jiaotong University, 2017, 30(2): 288-294. doi: 10.3969/j.issn.0258-2724.2017.02.011
Citation: YANG Enhui, ZHANG Aonan, DING Shihai, WANG Kelvin C. P.. Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling[J]. Journal of Southwest Jiaotong University, 2017, 30(2): 288-294. doi: 10.3969/j.issn.0258-2724.2017.02.011

Automatic Detection Method for Highway Pavement Cracking Based on the 3D Shadow Modeling

doi: 10.3969/j.issn.0258-2724.2017.02.011
  • Received Date: 21 Apr 2016
  • Publish Date: 25 Apr 2017
  • Automatic detection method for pavement cracking based on 3D image technology has been a hot topic. In order to improve the accuracy and reliability of the cracking detection, a new method based on the 3D shadow modeling was proposed, which utilizes that the height of the fracture zone is lower than the surrounding area, and the shadow model was used to identify the cracking by the virtual light projection and then, the linear shape analysis method was used to discriminate cracks detection. Furthermore, both the connected-component analysis method and linear shape analysis method were adopted to remove the image noises. The results show that the automatic detection method can achieve 92.93% of accuracy in pavement cracking detection.

     

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