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Proceedings Paper

An edge detection method based artificial bee colony for underwater dam crack image
Author(s): Zhuo Zhang; Xinnan Fan II; Yingjuan Xie III; Haiyan Xu IV
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Paper Abstract

In this paper, an edge extraction model based on artificial bee colony algorithm has been proposed to overcome the problems of concrete defect detection in complex underwater environment specialized to dam cracks detection. To enhance weak-object edge gray contrast under different brightness, the adaptive enhancement method is presented in which a concept of two-dimensional lateral inhibitory network is introduced and a border highlighting rule is designed. Furthermore, to increase the edge extraction effective, the improved artificial bee colony algorithm is used in which an optimization strategy is based on edge direction information. Some experiments are carried out on underwater dam crack images in different environments and the experimental results show the efficiency and effectiveness of the algorithm.

Paper Details

Date Published: 24 April 2018
PDF: 4 pages
Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111R (24 April 2018); doi: 10.1117/12.2316618
Show Author Affiliations
Zhuo Zhang, Hohai Univ. (China)
Xinnan Fan II, Hohai Univ. (China)
Yingjuan Xie III, Hohai Univ. (China)
Haiyan Xu IV, Hohai Univ. (China)


Published in SPIE Proceedings Vol. 10711:
Biomedical Imaging and Sensing Conference
Toyohiko Yatagai; Yoshihisa Aizu; Osamu Matoba; Yasuhiro Awatsuji; Yuan Luo, Editor(s)

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