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Proceedings Paper

Research of infrared laser based pavement imaging and crack detection
Author(s): Hanyu Hong; Shu Wang; Xiuhua Zhang; Genqiang Jing
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Paper Abstract

Road crack detection is seriously affected by many factors in actual applications, such as some shadows, road signs, oil stains, high frequency noise and so on. Due to these factors, the current crack detection methods can not distinguish the cracks in complex scenes. In order to solve this problem, a novel method based on infrared laser pavement imaging is proposed. Firstly, single sensor laser pavement imaging system is adopted to obtain pavement images, high power laser line projector is well used to resist various shadows. Secondly, the crack extraction algorithm which has merged multiple features intelligently is proposed to extract crack information. In this step, the non-negative feature and contrast feature are used to extract the basic crack information, and circular projection based on linearity feature is applied to enhance the crack area and eliminate noise. A series of experiments have been performed to test the proposed method, which shows that the proposed automatic extraction method is effective and advanced.

Paper Details

Date Published: 20 August 2013
PDF: 8 pages
Proc. SPIE 8913, International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology, 89130S (20 August 2013); doi: 10.1117/12.2033261
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Shu Wang, Wuhan Institute of Technology (China)
Xiuhua Zhang, Wuhan Institute of Technology (China)
Genqiang Jing, National Ctr. of Metrization for Equipment of Roads and Bridges, Research Institute of Highways (China)


Published in SPIE Proceedings Vol. 8913:
International Symposium on Photoelectronic Detection and Imaging 2013: Optical Storage and Display Technology
Changsheng Xie; Yikai Su; Liangcai Cao, Editor(s)

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