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Proceedings Paper

Highway crack monitoring system
Author(s): Min Wu; Xuemin Chen; C. Richard Liu
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Paper 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.

Paper Details

Date Published: 28 June 2002
PDF: 7 pages
Proc. SPIE 4696, Smart Structures and Materials 2002: Smart Systems for Bridges, Structures, and Highways, (28 June 2002); doi: 10.1117/12.472565
Show Author Affiliations
Min Wu, Univ. of Houston (United States)
Xuemin Chen, Univ. of Houston (United States)
C. Richard Liu, Univ. of Houston (United States)


Published in SPIE Proceedings Vol. 4696:
Smart Structures and Materials 2002: Smart Systems for Bridges, Structures, and Highways
S.-C. Liu; Darryll J. Pines, Editor(s)

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