摘要
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.
源语言 | 英语 |
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主期刊名 | Applications of Digital Image Processing XXXIX |
编辑 | Andrew G. Tescher |
出版商 | SPIE |
ISBN(电子版) | 9781510603332 |
DOI | |
出版状态 | 已出版 - 2016 |
活动 | Applications of Digital Image Processing XXXIX - San Diego, 美国 期限: 29 8月 2016 → 1 9月 2016 |
出版系列
姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
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卷 | 9971 |
ISSN(印刷版) | 0277-786X |
ISSN(电子版) | 1996-756X |
会议
会议 | Applications of Digital Image Processing XXXIX |
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国家/地区 | 美国 |
市 | San Diego |
时期 | 29/08/16 → 1/09/16 |
指纹
探究 'Sea surface target detection and recognition algorithm based on local and global salient region detection' 的科研主题。它们共同构成独一无二的指纹。引用此
Wei, W., Liu, X., Zhou, B., Zhao, Y., Dong, L., Liu, M., Kong, L., & Chu, X. (2016). Sea surface target detection and recognition algorithm based on local and global salient region detection. 在 A. G. Tescher (编辑), Applications of Digital Image Processing XXXIX 文章 99712U (Proceedings of SPIE - The International Society for Optical Engineering; 卷 9971). SPIE. https://doi.org/10.1117/12.2237103