Mathematical Morphology Based Asphalt Pavement Crack Detection

Conventional visual and manual analysis approaches to pavement crack detection are costly, time-consuming, labor-intensive, and subjective. This paper proposed a scheme of automated detection of asphalt pavement surface images. Image enhancement based on mathematical morphologic operations was first performed, then the image is segmented based on the threshold method. The main idea of the proposed image segmentation method is that the threshold values of gray-level pavement images are strongly related with the values of the mean and standard deviation of the pixel intensities. The experimental results have demonstrated that the proposed approach can determine the threshold values accurately and quickly.

• Record URL:
  • https://doi.org/10.1061/41039(345)640
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784410394
• Supplemental Notes:
  • © 2009 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Wei, Na
  • Zhao, Xiangmo
  • Wang, Tao
  • Song, Hongxun
• Conference:
  • Second International Conference on Transportation Engineering
  • Location: Chengdu , China
  • Date: 2009-7-25 to 2009-7-27
• Publication Date: 2009-7

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 3883-3887
• Monograph Title: International Conference on Transportation Engineering 2009

Subject/Index Terms

• TRT Terms: Asphalt pavements; Cracking; Image analysis; Mathematics; Morphology
• Subject Areas: Highways; Pavements; I22: Design of Pavements, Railways and Guideways;

Filing Info

• Accession Number: 01535562
• Record Type: Publication
• ISBN: 9780784410394
• Files: TRIS, ASCE
• Created Date: Aug 27 2014 10:50AM