Pavement Distress Analysis Using Image Processing Techniques

David S. Mahler, Zuhair B. Kharoufa, Edward K. Wong, Leonard G. Shaw

    Research output: Contribution to journalArticlepeer-review


    Abstract: We demonstrate the feasibility of applying image processing techniques to the analysis of pavement distress due to cracking. Pavement image samples were obtained using a custom‐designed data acquisition system called the Automatic Crack Monitor (ACM). The image samples conteining pavement cracks are parameters, are extracted using techniquesw described in this paper. The crack parameters are necessary measures used in calculations of the Pavement Serviceability Index (PSI), which is used by highway maintenance engineers to decide whether a certain pavement section needs to be repaired. Experimental results are shown and the potential harware implementation of the developed techniques is also discussed.

    Original languageEnglish (US)
    Pages (from-to)1-14
    Number of pages14
    JournalComputer‐Aided Civil and Infrastructure Engineering
    Issue number1
    StatePublished - Jan 1991

    ASJC Scopus subject areas

    • Civil and Structural Engineering
    • Computer Science Applications
    • Computer Graphics and Computer-Aided Design
    • Computational Theory and Mathematics


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