A Novel Non-convex Regularization Method For Image Segmentation
文献类型：会议论文
| 作者 | Zhilong Zhao; Yu Han; Hui Wang; Fengqi Yu |
| 出版日期 | 2011 |
| 会议名称 | 2nd International Conference on Multimedia Technology |
| 会议地点 | Hangzhou, China |
| 英文摘要 | This paper proposes a new variational method with a non-convex regularization term which is introduced to restore high quality image. Non-convex regularization has advantages over convex regularization such as total variation (TV) for image segmentation. In practical, the used of the non-convex regularization is limited by the difficulty of the minimization. Through the variation splitting technology, we develop a new fast minimization algorithm to solve the non-convex problem for image segmentation. The new algorithm has higher efficiency and more robust to the choice of parameters. Experimental results illustrate the performance improvements by using our method. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3284]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | 2011 |
| 推荐引用方式 GB/T 7714 | Zhilong Zhao,Yu Han,Hui Wang,et al. A Novel Non-convex Regularization Method For Image Segmentation[C]. 见:2nd International Conference on Multimedia Technology. Hangzhou, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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