A Unified Tensor Level Set for Image Segmentation
文献类型：期刊论文
| 作者 | Wang, Bin1; Gao, Xinbo1; Tao, Dacheng2; Li, Xuelong3 |
| 刊名 | ieee transactions on systems man and cybernetics part b-cybernetics
 |
| 出版日期 | 2010-06-01 |
| 卷号 | 40期号:3页码:857-867 |
| 关键词 | Gabor filter bank geometric active contour image segmentation level set method partial differential equation (PDE) and tensor field |
| ISSN号 | 1083–4419 |
| 通讯作者 | b. wang |
| 合作状况 | 其它 |
| 英文摘要 | this paper presents a new region-based unified tensor level set model for image segmentation. this model introduces a three-order tensor to comprehensively depict features of pixels, e.g., gray value and the local geometrical features, such as orientation and gradient, and then, by defining a weighted distance, we generalized the representative region-based level set method from scalar to tensor. the proposed model has four main advantages compared with the traditional representative method as follows. first, involving the gaussian filter bank, the model is robust against noise, particularly the salt-and pepper-type noise. second, considering the local geometrical features, e. g., orientation and gradient, the model pays more attention to boundaries and makes the evolving curve stop more easily at the boundary location. third, due to the unified tensor pixel representation representing the pixels, the model segments images more accurately and naturally. fourth, based on a weighted distance definition, the model possesses the capacity to cope with data varying from scalar to vector, then to high-order tensor. we apply the proposed method to synthetic, medical, and natural images, and the result suggests that the proposed method is superior to the available representative region-based level set method. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | 信号与模式识别 ; 计算机应用其他学科（含图像处理） |
| 类目[WOS] | automation & control systems ; computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | automation & control systems ; computer science |
| 关键词[WOS] | discriminant-analysis ; models ; flow ; recognition ; curvature |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000277774700027 |
| 公开日期 | 2011-01-11 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/8558]  |
| 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.Xidian Univ, Sch Elect Engn, Xian 710071, Peoples R China 2.Nanyang Technol Univ, Sch Comp Engn, Singapore 639798, Singapore 3.Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Bin,Gao, Xinbo,Tao, Dacheng,et al. A Unified Tensor Level Set for Image Segmentation[J]. ieee transactions on systems man and cybernetics part b-cybernetics,2010,40(3):857-867. |
| APA | Wang, Bin,Gao, Xinbo,Tao, Dacheng,&Li, Xuelong.(2010).A Unified Tensor Level Set for Image Segmentation.ieee transactions on systems man and cybernetics part b-cybernetics,40(3),857-867. |
| MLA | Wang, Bin,et al."A Unified Tensor Level Set for Image Segmentation".ieee transactions on systems man and cybernetics part b-cybernetics 40.3(2010):857-867. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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