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Proceedings Paper

Detect ships using saliency in infrared images with sea-sky background
Author(s): Fang Wu; Chengfei Zhu; Wenfang Xue
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Paper Abstract

Nowadays, ship detection in sea-sky background is not only useful in maritime visual surveillance, but also helpful in maritime search and rescue. Since ships are salient objects in infrared images with sea-sky background, we present a novel and effective algorithm based on saliency for ship detection in this situation. Our algorithm adopts global saliency, local saliency and background prior to generate saliency maps. Ships are finally segmented in saliency maps. Our algorithm is compared with four classic salient object detection algorithms. And experimental results show our algorithm outperforms the other four algorithms in qualitative and quantitative terms.

Paper Details

Date Published: 6 July 2015
PDF: 8 pages
Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310A (6 July 2015); doi: 10.1117/12.2197021
Show Author Affiliations
Fang Wu, Institute of Automation (China)
Chengfei Zhu, Institute of Automation (China)
Wenfang Xue, Institute of Automation (China)

Published in SPIE Proceedings Vol. 9631:
Seventh International Conference on Digital Image Processing (ICDIP 2015)
Charles M. Falco; Xudong Jiang, Editor(s)

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