Name
Abstract | ||
|---|---|---|
We propose a novel salient region detection algorithm by texture-suppressed background contrast. We employ a structure extraction algorithm to suppress the small scale textures which are supposed to be not sensitive for human vision system. Then the texture-suppressed image is segmented into homogeneous superpixels. Motivated by the observation that the spatial distribution of the background has a high probability on the boundaries of images, we estimate the background as superpixels near the image boundaries. The saliency of each superpixel is then defined as the summation of its k minimum color distances to the estimated background superpixels. Finally a post-processing process involving spatial and color adjacency is employed to generate a per-pixel saliency map. Experimental results demonstrate that the proposed method outperforms the state-of-the-art approaches. |
Year | Venue | Keywords |
|---|---|---|
2013 | 2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013) | Salient region detection, Background contrast, Texture suppression, Superpixels |
Field | DocType | ISSN |
Adjacency list,Computer vision,Object detection,Machine vision,Pattern recognition,Image texture,Salience (neuroscience),Computer science,Image segmentation,Artificial intelligence,Region detection,Salient | Conference | 1522-4880 |
Citations | PageRank | References |
6 | 0.42 | 12 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiamei Shuai | 1 | 6 | 0.42 |
| Laiyun Qing | 2 | 337 | 24.66 |
| Jun Miao | 3 | 220 | 22.17 |
| Zhiguo Ma | 4 | 14 | 1.70 |
| Xilin Chen | 5 | 6291 | 306.27 |