An edge detection method based artificial bee colony for underwater dam crack image

Zhuo Zhang; Xinnan Fan II; Yingjuan Xie III; Haiyan Xu IV

doi:10.1117/12.2316618

24 April 2018 An edge detection method based artificial bee colony for underwater dam crack image

Zhuo Zhang, Xinnan Fan II, Yingjuan Xie III, Haiyan Xu IV

Proceedings Volume 10711, Biomedical Imaging and Sensing Conference; 107111R (2018) https://doi.org/10.1117/12.2316618
Event: SPIE Structured Light, 2018, Yokohama, Japan

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.

Citation Download Citation

Zhuo Zhang, Xinnan Fan II, Yingjuan Xie III, and Haiyan Xu IV "An edge detection method based artificial bee colony for underwater dam crack image", Proc. SPIE 10711, Biomedical Imaging and Sensing Conference, 107111R (24 April 2018); https://doi.org/10.1117/12.2316618

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