中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A unified level set framework utilizing parameter priors for medical image segmentation

文献类型:期刊论文

作者Wang LingFeng1; Yu ZeYun2; Pan ChunHong1
刊名SCIENCE CHINA-INFORMATION SCIENCES
出版日期2013-11-01
卷号56期号:11
关键词image segmentation level set local order regularization interactive regularization
英文摘要Image segmentation plays an important role in many medical imaging systems, yet in complex circumstances it remains an open problem. One of the main difficulties is the intensity inhomogeneity in an image. In order to tackle this problem, we first introduce a region-based level set segmentation framework to unify the traditional global and local methods. We then propose two novel parameter priors, i.e., the local order regularization and interactive regularization, and then utilize them as the constraints of the objective energy function. The objective energy function is finally minimized via a level set evolution process to achieve image segmentation. Extensive experiments show that the proposed approach has gained significant improvements in both accuracy and efficiency over the state-of-the-art methods.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Information Systems
研究领域[WOS]Computer Science
关键词[WOS]ACTIVE CONTOURS ; FITTING ENERGY ; MODEL ; MUMFORD ; EVOLUTION
收录类别SCI
语种英语
WOS记录号WOS:000329537800006
源URL[http://ir.ia.ac.cn/handle/173211/3725]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
作者单位1.Chinese Acad Sci, NLPR, Inst Automat, Beijing 100190, Peoples R China
2.Univ Wisconsin Milwaukee, Dept Comp Sci, Milwaukee, WI USA
推荐引用方式
GB/T 7714
Wang LingFeng,Yu ZeYun,Pan ChunHong. A unified level set framework utilizing parameter priors for medical image segmentation[J]. SCIENCE CHINA-INFORMATION SCIENCES,2013,56(11).
APA Wang LingFeng,Yu ZeYun,&Pan ChunHong.(2013).A unified level set framework utilizing parameter priors for medical image segmentation.SCIENCE CHINA-INFORMATION SCIENCES,56(11).
MLA Wang LingFeng,et al."A unified level set framework utilizing parameter priors for medical image segmentation".SCIENCE CHINA-INFORMATION SCIENCES 56.11(2013).

入库方式: OAI收割

来源:自动化研究所

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