| An auto-selection method for saliency detection and its application to segment the object | |
| Dang, Xuyong ; Pan, Wei ; Pan W(潘伟) | |
| 2012 | |
| 关键词 | Sensor networks Separation |
| 英文摘要 | Conference Name:2012 International Symposium on Instrumentation and Measurement, Sensor Network and Automation, IMSNA 2012. Conference Address: Sanya, Hainan, China. Time:August 25, 2012 - August 28, 2012.; Based on the analysis to the three methods of IG, GBVS and PQFT, and on the comparison of their advantages and disadvantages, an auto-selection method for saliency detection is proposed by calculating the consistency between two methods. The salient object in the image is separated through combining GrabCut algorithm with the saliency map generated. The results of experiments demonstrate that our method is not only has a good performance on saliency detection but also can effectively separate the salient object. 漏 2012 IEEE. |
| 语种 | 英语 |
| 出处 | http://dx.doi.org/10.1109/MSNA.2012.6324562 |
| 出版者 | IEEE Computer Society |
| 内容类型 | 其他 |
| 源URL | [http://dspace.xmu.edu.cn/handle/2288/86767]  |
| 专题 | 信息技术－会议论文 |
| 推荐引用方式 GB/T 7714 | Dang, Xuyong,Pan, Wei,Pan W. An auto-selection method for saliency detection and its application to segment the object. 2012-01-01. |
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