FEASIBILITY OF AUTOMATING PAVEMENT DISTRESS ASSESSMENT USING MATHEMATICAL MORPHOLOGY

Surface distress assessment is an essential pavement management task. Developing and refining morphology-based image analysis techniques and evaluating the feasibility of their application to the automation of pavement distress surveys are discussed. Cracking and other distresses on asphalt and concrete pavement surfaces are analyzed. Significant advantages of the morphology-based approach include substantial reductions in data requirements and computational costs. Sample photographic images of pavements are analyzed, and the ability of the developed image-processing technique to identify distress types, severities, and extents is demonstrated. It is concluded that the developed morphology-based approach is capable of detecting noncracking distresses and assessing cracking on various types of pavement without manual intervention. It promises to become suitable for automating pavement distress surveys and thus to increase the effectiveness and efficiency of pavement condition assessment.

Language

  • English

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 52-58
  • Monograph Title: Pavement and traffic monitoring and evaluation
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00667664
  • Record Type: Publication
  • ISBN: 0309055121
  • Files: TRIS, TRB
  • Created Date: Oct 13 1994 12:00AM