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首页> 美国政府科技报告 >Development of Image Algorithms for Automated Pavement Distress Evaluation System
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Development of Image Algorithms for Automated Pavement Distress Evaluation System

机译：自动路面破损评估系统图像算法的开发

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Videotapes of highway pavement surfaces are collected with the Automatic RoadAnalyzer (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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