Mean shift based gradient vector flow for image segmentation
文献类型：期刊论文
| 作者 | Zhou, Huiyu1; Li, Xuelong2 ; Schaefer, Gerald3; Celebi, M. Emre4; Miller, Paul1
|
| 刊名 | computer vision and image understanding
 |
| 出版日期 | 2013-09-01 |
| 卷号 | 117期号:9页码:1004-1016 |
| 关键词 | Image segmentation Mean shift Gradient vector flow Contour Energy function |
| 英文摘要 | in recent years, gradient vector flow (gvf) based algorithms have been successfully used to segment a variety of 2-d and 3-d imagery. however, due to the compromise of internal and external energy forces within the resulting partial differential equations, these methods may lead to biased segmentation results. in this paper, we propose msgvf, a mean shift based gvf segmentation algorithm that can successfully locate the correct borders. msgvf is developed so that when the contour reaches equilibrium, the various forces resulting from the different energy terms are balanced. in addition, the smoothness constraint of image pixels is kept so that over- or under-segmentation can be reduced. experimental results on publicly accessible datasets of dermoscopic and optic disc images demonstrate that the proposed method effectively detects the borders of the objects of interest. (c) 2013 elsevier inc. all rights reserved. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; engineering, electrical & electronic |
| 研究领域[WOS] | computer science ; engineering |
| 关键词[WOS] | active contour models ; level set method ; pattern-recognition ; snakes ; shape ; boundary ; tracking ; balloons |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000321724300004 |
| 公开日期 | 2015-06-30 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/23485]  |
| 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.Queens Univ Belfast, ECIT, Belfast BT3 9DT, Antrim, North Ireland 2.Chinese Acad Sci, Ctr OPT IMagery Anal & Learning OPTIMAL, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 3.Univ Loughborough, Dept Comp Sci, Loughborough LE11 3TU, Leics, England 4.Louisiana State Univ, Dept Comp Sci, Shreveport, LA 71115 USA |
| 推荐引用方式 GB/T 7714 | Zhou, Huiyu,Li, Xuelong,Schaefer, Gerald,et al. Mean shift based gradient vector flow for image segmentation[J]. computer vision and image understanding,2013,117(9):1004-1016. |
| APA | Zhou, Huiyu,Li, Xuelong,Schaefer, Gerald,Celebi, M. Emre,&Miller, Paul.(2013).Mean shift based gradient vector flow for image segmentation.computer vision and image understanding,117(9),1004-1016. |
| MLA | Zhou, Huiyu,et al."Mean shift based gradient vector flow for image segmentation".computer vision and image understanding 117.9(2013):1004-1016. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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