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:
  • Publication Date: 2019


  • English

Media Info

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

Subject/Index Terms

Filing Info

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