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    Development of Image Algorithms for Automated Pavement Distress Evaluation System

    New search for: P. Chan
    New search for: A. Rao
    New search for: L. Li
    New search for: R. L. Lytton

    Videotapes of highway pavement surfaces are collected with the Automatic Road Analyzer (ARAN). The videotapes are then brought back to the lab for visual evaluation. Therefore, there exists a need to automatically determine the type and extent of cracking by computerized means. The report describes the image analysis algorithm to classify the cracking of Asphalt-concrete Pavement (ACP) and Continuously Reinforced Concrete Pavement (CRCP). The image analysis software features a three-pass approach. The first pass detects crack segments from the analysis of the block projection histogram. The second pass re-examines the vicinity of the detected edge segments to locate the remaining thinner crack segments with less stringent rules. The third pass is to classify the cracking type based on the position alignment and orientation of the crack segments in the edge map.

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    Development of Image Algorithms for Automated Pavement Distress Evaluation System

    New search for: P. Chan
    New search for: A. Rao
    New search for: L. Li
    New search for: R. L. Lytton

    Videotapes of highway pavement surfaces are collected with the Automatic Road Analyzer (ARAN). The videotapes are then brought back to the lab for visual evaluation. Therefore, there exists a need to automatically determine the type and extent of cracking by computerized means. The report describes the image analysis algorithm to classify the cracking of Asphalt-concrete Pavement (ACP) and Continuously Reinforced Concrete Pavement (CRCP). The image analysis software features a three-pass approach. The first pass detects crack segments from the analysis of the block projection histogram. The second pass re-examines the vicinity of the detected edge segments to locate the remaining thinner crack segments with less stringent rules. The third pass is to classify the cracking type based on the position alignment and orientation of the crack segments in the edge map.

    Access

    Access via TIB
    Check availability in my library

    Development of Image Algorithms for Automated Pavement Distress Evaluation System

    New search for: P. Chan
    New search for: A. Rao
    New search for: L. Li
    New search for: R. L. Lytton

    Videotapes of highway pavement surfaces are collected with the Automatic Road Analyzer (ARAN). The videotapes are then brought back to the lab for visual evaluation. Therefore, there exists a need to automatically determine the type and extent of cracking by computerized means. The report describes the image analysis algorithm to classify the cracking of Asphalt-concrete Pavement (ACP) and Continuously Reinforced Concrete Pavement (CRCP). The image analysis software features a three-pass approach. The first pass detects crack segments from the analysis of the block projection histogram. The second pass re-examines the vicinity of the detected edge segments to locate the remaining thinner crack segments with less stringent rules. The third pass is to classify the cracking type based on the position alignment and orientation of the crack segments in the edge map.

    Access

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    Check availability in my library

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    Title:

    Development of Image Algorithms for Automated Pavement Distress Evaluation System

    Contributors:

    P. Chan (author) / A. Rao (author) / L. Li (author) / R. L. Lytton (author)

    Publication date:

    1992

    Size:

    130 pages

    Type of media:

    Report

    Type of material:

    No indication

    Language:

    English

    Keywords:

    Highway Engineering , Photographic Techniques & Equipment , Pavements , Cracking(Fracturing) , Video tapes , Image processing , Computer applications , Surface properties , Algorithms , ARAN(Automatic Road Analyzer) , PMIS(Pavement Management Information System) , VCR(Video Cassette Recorder)

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