Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Local hybrid level-set method for MRA image segmentation | |
Hong, Qingqi; Li, Qingde; Tian, Jie | |
2010 | |
会议名称 | 10th IEEE International Conference on Computer and Information Technology, CIT-2010, 7th IEEE International Conference on Embedded Software and Systems, ICESS-2010, ScalCom-2010 |
会议录名称 | IEEE International Conference on Computer and Information Technology (CIT) IEEE International Conference on Embedded Software and Systems (ICESS) |
页码 | 1397-1402 |
会议日期 | 2010 |
会议地点 | Bradford, UK |
摘要 | In this paper, a local hybrid level-set method for medical image segmentation is presented. In proposed method, a locally fitted binary energy function is introduced into the hybrid level-set framework proposed by Zhang et al.. Compared with the globally specified threshold, the use of local binary fitting energy in the hybrid level-set method allows one to extract local image information more accurately, which is essential for enhancing the efficiency and effectiveness of the segmentation of inhomogeneous images. Experimental results on 3D medical images are presented to demonstrate the strengths of the proposed method. |
关键词 | Mra Image Segmentation Local Hybrid Level-set Method |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/5436 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Tian, Jie |
推荐引用方式 GB/T 7714 | Hong, Qingqi,Li, Qingde,Tian, Jie. Local hybrid level-set method for MRA image segmentation[C],2010:1397-1402. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
05627582.pdf(583KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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