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Proceedings Paper

Global contrast saliency detection of images with small scale structure suppression
Author(s): Weilin Ling; Yinwei Zhan
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Paper Abstract

Image saliency detection is a way to extract information from an image that a man pays close attention to. Usually, objects of small scale structure cause difficulties in saliency detection. For this, in this paper, we propose a global contrast saliency detection method based on color relation using color differences, globally spatial relations of images and a kind of image segmentation. Experiments demonstrate that this approach can ensure that objects of small scale structures do not appear in the final saliency map.

Paper Details

Date Published: 26 July 2018
PDF: 7 pages
Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280C (26 July 2018); doi: 10.1117/12.2501942
Show Author Affiliations
Weilin Ling, Guangdong Univ. of Technology (China)
Yinwei Zhan, Guangdong Univ. of 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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