Selective Level Set Segmentation Using Fuzzy Region Competition | |
Li, Bing Nan1; Qin, Jing2; Wang, Rong3; Wang, Meng4; Li, Xuelong5 | |
刊名 | ieee access |
2016 | |
卷号 | 4页码:4777-4788 |
关键词 | Fuzzy control image segmentation level set methods region competition selective segmentation |
ISSN号 | 2169-3536 |
通讯作者 | li, bing nan (bingoon@ieee.org) |
产权排序 | 5 |
英文摘要 | deformable models and level set methods have been extensively investigated for computerized image segmentation. however, medical image segmentation is yet one of open challenges owing to diversified physiology, pathology, and imaging modalities. existing level set methods suffer from some inherent drawbacks in face of noise, ambiguity, and inhomogeneity. it is also refractory to control level set segmentation that is dependent on image content and evolutional strategies. in this paper, a new level set formulation is proposed by using fuzzy region competition for selective image segmentation. it is able to detect and track the arbitrary combination of selected objects or image components. to the best of our knowledge, this new formulation should be one of the first proposals in a framework of region competition for selective segmentation. experiments on both synthetic and real images validate its advantages in selective level set segmentation. |
学科主题 | data processing and image processing ; automatic control principles and applications ; imaging techniques ; numerical methods ; physical properties of gases, liquids and solids ; mechanical variables measurements |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, information systems ; engineering, electrical & electronic ; telecommunications |
研究领域[WOS] | computer science ; engineering ; telecommunications |
关键词[WOS] | magnetic-resonance elastography ; medical image segmentation ; active contours ; fitting energy ; evolution ; mumford ; model ; shape |
收录类别 | SCI ; EI |
语种 | 英语 |
WOS记录号 | WOS:000397826600001 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28360] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Hefei Univ Technol, Dept Biomed Engn, Hefei 230009, Peoples R China 2.Hong Kong Polytech Univ, Sch Nursing, Ctr Smart Hlth, Hong Kong, Hong Kong, Peoples R China 3.Xian Res Inst Hitech, Xian 710201, Peoples R China 4.Hefei Univ Technol, Sch Comp Sci & Informat Engn, Hefei 230009, Peoples R China 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Bing Nan,Qin, Jing,Wang, Rong,et al. Selective Level Set Segmentation Using Fuzzy Region Competition[J]. ieee access,2016,4:4777-4788. |
APA | Li, Bing Nan,Qin, Jing,Wang, Rong,Wang, Meng,&Li, Xuelong.(2016).Selective Level Set Segmentation Using Fuzzy Region Competition.ieee access,4,4777-4788. |
MLA | Li, Bing Nan,et al."Selective Level Set Segmentation Using Fuzzy Region Competition".ieee access 4(2016):4777-4788. |
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