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Oil spills detection by spreading attention along gestalt cues
Author(s): Qianqian Deng; Hao Dou; Peng Gao; Jinwen Tian
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Paper Abstract

This paper proposes an oil spills detection method based on superpixel merge. Inspired by Gestalt criterion of cognitive psychology, we explore two typical Gestalt grouping cues, including proximity and similarity for superpixels merge processing to finish the task of oil spill detection. First, the input infrared image is over-segmented into superpixels. Then, we extract the feature of each superpixel and compute feature contrast to obtain initial attention. Finally, spreading the attention along Gestalt grouping cues to merge superpixels and obtain the final whole oil spills regions.

Paper Details

Date Published: 26 July 2018
PDF: 7 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280P (26 July 2018); doi: 10.1117/12.2501759
Show Author Affiliations
Qianqian Deng, Huazhong Univ. of Science and Technology (China)
Hao Dou, Huazhong Univ. of Science and Technology (China)
Peng Gao, Huazhong Univ. of Science and Technology (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10828:
Third International Workshop on Pattern Recognition
Xudong Jiang; Zhenxiang Chen; Guojian Chen, Editor(s)

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