Global contrast saliency detection of images with small scale structure suppression
Weilin Ling, Yinwei Zhan · 2018
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.