A unified level set framework utilizing parameter priors for medical image segmentation
文献类型:期刊论文
作者 | Wang LingFeng1![]() ![]() |
刊名 | SCIENCE CHINA-INFORMATION SCIENCES
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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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