Oil spills detection by spreading attention along gestalt cues

Qianqian Deng; Hao Dou; Peng Gao; Jinwen Tian

doi:10.1117/12.2501759

26 July 2018 Oil spills detection by spreading attention along gestalt cues

Qianqian Deng, Hao Dou, Peng Gao, Jinwen Tian

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108280P (2018) https://doi.org/10.1117/12.2501759
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

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.

Citation Download Citation

Qianqian Deng, Hao Dou, Peng Gao, and Jinwen Tian "Oil spills detection by spreading attention along gestalt cues", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280P (26 July 2018); https://doi.org/10.1117/12.2501759

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