Global contrast saliency detection of images with small scale structure suppression

Weilin Ling; Yinwei Zhan

doi:10.1117/12.2501942

26 July 2018 Global contrast saliency detection of images with small scale structure suppression

Weilin Ling, Yinwei Zhan

Proceedings Volume 10828, Third International Workshop on Pattern Recognition; 108280C (2018) https://doi.org/10.1117/12.2501942
Event: Third International Workshop on Pattern Recognition, 2018, Jinan, China

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.

Citation Download Citation

Weilin Ling and Yinwei Zhan "Global contrast saliency detection of images with small scale structure suppression", Proc. SPIE 10828, Third International Workshop on Pattern Recognition, 108280C (26 July 2018); https://doi.org/10.1117/12.2501942

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