Salient region detection using background priors |
| |
Authors: | Yanbang Zhang Junwei Han Lei Guo |
| |
Affiliation: | 1. School of Automation, Northwestern Polytechnical University, Xi’an 710072, China;2. College of Mathematics and Information Science, Xianyang Normal University, Xianyang, Shaanxi 712000, China |
| |
Abstract: | In this paper, we introduce a novel salient region detection algorithm by using background priors. Because of the fact that superpixel is perceptually more meaningful than pixel, and which can reduce the complexity of image processing, we use the superpixel algorithm to reprocess original images. In addition, we hold the point that the colors in the image boundary could mainly represent all background colors, hence we compute the color contrast between the intern colors and the boundary colors. Since the nearer the patches are close to center, the more they affect other patches, we propose a new distribution-based model. Finally, experimental results demonstrate that the proposed method outperforms the state-of-the-art approaches. |
| |
Keywords: | Visual attention Salient region Color contrast Background priors |
本文献已被 ScienceDirect 等数据库收录! |
|