Salient region detection using background contrast
Yanbang Zhang, Junwei Han, Lei Guo · 2014
In this paper, the salient region detection problem is investigated by using background contrast. Since background colors usually appear near image border, and all background colors can be mainly represented by the colors in the image boundary, the boundary-based model is established via computing the different between the intern colors and the boundary colors. As we know, the nearer the patches are close to center, the more they affect other patches. Based on this, a new distribution-based model is proposed. Because of the fact that pixels in the small neighborhood usually have the very similar color components, and computing region-based contrast can reduce the computational complexity, the superpixel algorithm is used in the pretreatment process. Finally, experimental results demonstrate that the proposed method outperforms the state-of-the-art approaches.