Nonlocal variational image segmentation models on graphs using the split bregman
文献类型：期刊论文
| 作者 | Lu, Ke1; Wang, Qian1; He, Ning2; Pan, Daru1,3; Pan, Weiguo1 |
| 刊名 | Multimedia systems
 |
| 出版日期 | 2015-06-01 |
| 卷号 | 21期号:3页码:289-299 |
| 关键词 | Variational Level sets Image segmentation Nonlocal Split bregman Graphs |
| ISSN号 | 0942-4962 |
| DOI | 10.1007/s00530-013-0351-z |
| 通讯作者 | Lu, ke(luk@ucas.ac.cn) |
| 英文摘要 | Variational functionals such as mumford-shah and chan-vese methods have a major impact on various areas of image processing. after over 10 years of investigation, they are still in widespread use today. these formulations optimize contours by evolution through gradient descent, which is known for its overdependence on initialization and the tendency to produce undesirable local minima. in this paper, we propose an image segmentation model in a variational nonlocal means framework based on a weighted graph. the advantages of this model are twofold. first, the convexity global minimum (optimum) information is taken into account to achieve better segmentation results. second, the proposed global convex energy functionals combine nonlocal regularization and local intensity fitting terms. the nonlocal total variational regularization term based on the graph is able to preserve the detailed structure of target objects. at the same time, the modified local binary fitting term introduced in the model as the local fitting term can efficiently deal with intensity inhomogeneity in images. finally, we apply the split bregman method to minimize the proposed energy functional efficiently. the proposed model has been applied to segmentation of real medical and remote sensing images. compared with other methods, the proposed model is superior in terms of both accuracy and efficient. |
| WOS关键词 | ACTIVE CONTOUR MODEL ; ALGORITHMS ; EVOLUTION ; FLOW |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Theory & Methods |
| 语种 | 英语 |
| WOS记录号 | WOS:000355813200006 |
| 出版者 | SPRINGER |
| URI标识 | http://www.irgrid.ac.cn/handle/1471x/2376652 |
| 专题 | 中国科学院大学 |
| 通讯作者 | Lu, Ke |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Beijing Union Univ, Beijing Key Lab Informat Serv Engn, Beijing 100101, Peoples R China 3.S China Normal Univ, Guangzhou 510631, Guangdong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lu, Ke,Wang, Qian,He, Ning,et al. Nonlocal variational image segmentation models on graphs using the split bregman[J]. Multimedia systems,2015,21(3):289-299. |
| APA | Lu, Ke,Wang, Qian,He, Ning,Pan, Daru,&Pan, Weiguo.(2015).Nonlocal variational image segmentation models on graphs using the split bregman.Multimedia systems,21(3),289-299. |
| MLA | Lu, Ke,et al."Nonlocal variational image segmentation models on graphs using the split bregman".Multimedia systems 21.3(2015):289-299. |
入库方式： iSwitch采集
来源：中国科学院大学
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。