| Title | Exploiting the Value of the Center-dark Channel Prior for Salient Object Detection |
| Authors | Zhu, Chunbiao Zhang, Wenhao Li, Thomas H. Li, Shan Li, Ge |
| Affiliation | Peking Univ, Shenzhen Grad Sch, 2199 Lishui Rd, Shenzhen 518055, Guangdong, Peoples R China Shenzhen Grad Sch, Shenzhen, Peoples R China Peking Univ, Adv Inst Informat Technol, Shenzhen, Peoples R China Tencent Amer, Palo Alto, CA USA |
| Keywords | Salient object detection center-dark channel prior |
| Issue Date | 2019 |
| Publisher | ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY |
| Abstract | Saliency detection aims to detect the most attractive objects in images and is widely used as a foundation for various applications. In this article, we propose a novel salient object detection algorithm for RGB-D images using center-dark channel priors. First, we generate an initial saliency map based on a color saliency map and a depth saliency map of a given RGB-D image. Then, we generate a center-dark channel map based on center saliency and dark channel priors. Finally, we fuse the initial saliency map with the center dark channel map to generate the final saliency map. Extensive evaluations over four benchmark datasets demonstrate that our proposed method performs favorably against most of the state-of-the-art approaches. Besides, we further discuss the application of the proposed algorithm in small target detection and demonstrate the universal value of center-dark channel priors in the field of object detection. |
| URI | http://hdl.handle.net/20.500.11897/548525 |
| ISSN | 2157-6904 |
| DOI | 10.1145/3319368 |
| Indexed | SCI(E) EI |
| Appears in Collections: | 深圳研究生院待认领 |
