Paper
28 June 2002 Highway crack monitoring system
Min Wu, Xuemin Chen, C. Richard Liu
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Image processing

Roads

Image segmentation

Binary data

Convolution

Image analysis

Lanthanum

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