Detect ships using saliency in infrared images with sea-sky background

Fang Wu; Chengfei Zhu; Wenfang Xue

doi:10.1117/12.2197021

6 July 2015 Detect ships using saliency in infrared images with sea-sky background

Fang Wu, Chengfei Zhu, Wenfang Xue

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310A (2015) https://doi.org/10.1117/12.2197021
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

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.

Citation Download Citation

Fang Wu, Chengfei Zhu, and Wenfang Xue "Detect ships using saliency in infrared images with sea-sky background", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310A (6 July 2015); https://doi.org/10.1117/12.2197021

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