Sea surface target detection and recognition algorithm based on local and global salient region detection

Wei Wei; Xiaohua Liu; Bingbing Zhou; Yuejin Zhao; Liquan Dong; Ming Liu; Lingqin Kong; Xuhong Chu

doi:10.1117/12.2237103

28 September 2016 Sea surface target detection and recognition algorithm based on local and global salient region detection

Wei Wei, Xiaohua Liu, Bingbing Zhou, Yuejin Zhao, Liquan Dong, Ming Liu, Lingqin Kong, Xuhong Chu

Author Affiliations +

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 99712U (2016) https://doi.org/10.1117/12.2237103
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

This paper proposes a new salient region detection algorithm to detect and recognize ship on the sea in a shaky field of view. Based on this situation, the approach this paper adopts to solve the problem is detecting the salient region of each frame separately instead of using tracking algorithm and the salient region detection is based on local and global contrast. The result shows that the interference can be restrained and the shape of target can be detected correctly. It proves that the algorithm in this paper is a highly efficient target detection algorithm for ship detection.

Citation Download Citation

Wei Wei, Xiaohua Liu, Bingbing Zhou, Yuejin Zhao, Liquan Dong, Ming Liu, Lingqin Kong, and Xuhong Chu "Sea surface target detection and recognition algorithm based on local and global salient region detection", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712U (28 September 2016); https://doi.org/10.1117/12.2237103

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