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Sea surface target detection and recognition algorithm based on local and global salient region detection
Author(s): Wei Wei; Xiaohua Liu; Bingbing Zhou; Yuejin Zhao; Liquan Dong; Ming Liu; Lingqin Kong; Xuhong Chu
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Paper 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.

Paper Details

Date Published: 28 September 2016
PDF: 8 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712U (28 September 2016); doi: 10.1117/12.2237103
Show Author Affiliations
Wei Wei, Beijing Institute of Technology (China)
Xiaohua Liu, Beijing Institute of Technology (China)
Bingbing Zhou, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Ming Liu, Beijing Institute of Technology (China)
Lingqin Kong, Beijing Institute of Technology (China)
Xuhong Chu, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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