Automatic Crack Detection by Multi-Seeding Fusion on 1mm Resolution 3D Pavement Images

2D image-based crack detection has been studied for many years. But researchers are still short of a robust method, which can generate satisfied results on general cases. 3D pavement images have obvious advantages over 2D images in dealing with disturbances caused by lane markings, sun-light shadows, oil marks and debris. Taking advantage of the state-of-the-art 3D image acquisition technology, this paper proposes a novel crack detection algorithm. It has four steps: 1) First, generate two partly overlapped images with 8×8 pixel grid cells; 2) Second, extract 10 images of crack seeds through symmetry check and grayscale verification; 3) Third, connect scattered seeds by an optimal path searching process considering grayscale values, cell direction and proximity; and 4) Finally, combine and de-noise 10 detection results from two grid cell images to obtain final results. Experiments based on 166 test images show that the proposed method can achieve better performance measured by F-measure, which takes both precision and recall rates into consideration.

• Record URL:
  https://doi.org/10.1061/9780784413586.052
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780784413586
• Supplemental Notes:
  • © 2014 American Society of Civil Engineers.
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Peng, Bo
  • Wang, Kelvin C P
  • Chen, Cheng
• Conference:
  • Second Transportation & Development Congress 2014
  • Location: Orlando Florida, United States
  • Date: 2014-6-8 to 2014-6-11
• Publication Date: 2014-5

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References;
• Pagination: pp 543-552
• Monograph Title: T&DI Congress 2014: Planes, Trains, and Automobiles

Subject/Index Terms

• TRT Terms: Algorithms; Flaw detection; Image analysis; Pavement cracking; Pavement distress
• Subject Areas: Highways; Maintenance and Preservation; Pavements; I61: Equipment and Maintenance Methods;

Filing Info

• Accession Number: 01528817
• Record Type: Publication
• ISBN: 9780784413586
• Files: TRIS, ASCE
• Created Date: Jun 26 2014 9:19AM