A Tile-Based Image Processing Method Based on Crack Density for Detection and Classification of Pavement Cracks

This paper describes the development of a fast and cost-effective automatic crack assessment method for the detection and classification of cracks from acquired two-dimensional pavement images. Most methods are costly and require labor-intensive learning processes or only apply to specific pavement types, and therefore a fast and low-cost method is necessary for roadway health monitoring with a limited budget. The authors find that the method can contribute to the deterioration modeling of cracks for pavement management systems, but it was ineffective at identifying low-level cracks.

• Corporate Authors:

  Transportation Research Board

  ,    
• Authors:
  • Safaei, Nima
  • Smadi, Omar
• Conference:
  • Transportation Research Board 98th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2019-1-13 to 2019-1-17
• Publication Date: 2019

Language

• English

Media Info

• Media Type: Digital/other
• Features: References;
• Pagination: 7p

Subject/Index Terms

• TRT Terms: Computer vision; Cost effectiveness; Cracking; Detection and identification; Image analysis; Pavement management systems; Structural health monitoring
• Subject Areas: Highways; Pavements;

Filing Info

• Accession Number: 01699791
• Record Type: Publication
• Report/Paper Numbers: 19-02553
• Files: TRIS, TRB, ATRI
• Created Date: Mar 26 2019 10:21AM