Sea surface target detection and recognition algorithm based on local and global salient region detection
| Autor: | Wei Wei, Yuejin Zhao, Bingbing Zhou, Xuhong Chu, Liquan Dong, Ming Liu, Lingqin Kong, Xiaohua Liu |
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| Rok vydání: | 2016 |
| Předmět: |
Surface (mathematics)
0209 industrial biotechnology Computer science business.industry Frame (networking) Region detection Pattern recognition 02 engineering and technology Tracking (particle physics) computer.software_genre 020901 industrial engineering & automation Salient 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Artificial intelligence Data mining Recognition algorithm business computer |
| Zdroj: | Applications of Digital Image Processing XXXIX. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.2237103 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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