Development of Image Algorithms for Automated Pavement Distress Evaluation System
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
- 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.
Document information
Development of Image Algorithms for Automated Pavement Distress Evaluation System
1992
130 pages
Report
No indication
English
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