Proceedings Paper
Pavement crack identification based on automatic threshold iterative method| Format | Member Price | Non-Member Price |
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Paper Abstract
Crack detection is an important issue in concrete infrastructure. Firstly, the accuracy of crack geometry parameters measurement is directly affected by the extraction accuracy, the same as the accuracy of the detection system. Due to the properties of unpredictability, randomness and irregularity, it is difficult to establish recognition model of crack. Secondly, various image noise, caused by irregular lighting conditions, dark spots, freckles and bump, exerts an influence on the crack detection accuracy. Peak threshold selection method is improved in this paper, and the processing of enhancement, smoothing and denoising is conducted before iterative threshold selection, which can complete the automatic selection of the threshold value in real time and stability.
Paper Details
Date Published: 23 January 2017
PDF: 6 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221F (23 January 2017); doi: 10.1117/12.2265253
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
PDF: 6 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 103221F (23 January 2017); doi: 10.1117/12.2265253
Show Author Affiliations
Guofeng Lu, Hunan Univ. of Science and Technology (China)
Qiancheng Zhao, Hunan Univ. of Science and Technology (China)
Qiancheng Zhao, Hunan Univ. of Science and Technology (China)
Jianguo Liao, Hunan Univ. of Science and Technology (China)
Yongbiao He, Hunan Univ. of Science and Technology (China)
Yongbiao He, Hunan Univ. of Science and Technology (China)
Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)
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