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Abstract
A highway crack monitoring system (HCMS) has been successfully developed to measure the pavement crack and its coverage of the road. A road-image processing algorithm is presented in this paper. Recurring thresholding (RT) segmentation is developed to extract crack objects from a complicated background on an estimation-verification process. A connect component object identification (CCOI) identifies the binary image object according to its connectivity with other objects. A boundary contour convolution (BCC) is applied in the binary-image object analysis to achieve fast processing and reduce computational complexity. The experiment results are provided to illustrate the performance of the system scheme.
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Min Wu, Xuemin Chen, and C. Richard Liu "Highway crack monitoring system", Proc. SPIE 4696, Smart Structures and Materials 2002: Smart Systems for Bridges, Structures, and Highways, (28 June 2002); https://doi.org/10.1117/12.472565
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