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Nonlocal variational image segmentation models on graphs using the split bregman
Lu, Ke1; Wang, Qian1; He, Ning2; Pan, Daru1,3; Pan, Weiguo1
刊名Multimedia systems
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
DOI10.1007/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
出版者SPRINGER
WOS记录号WOS:000355813200006
内容类型期刊论文
URI标识http://www.corc.org.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.
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