| 基于模糊核聚类的MR图像分割新算法 |
| |
| 引用本文： | 余学飞,李彬,陈武凡.基于模糊核聚类的MR图像分割新算法[J].南方医科大学学报,2008,28(4):555-557. |
| |
| 作者姓名： | 余学飞 李彬 陈武凡 |
| |
| 作者单位： | 南方医科大学生物医学工程学院,广东,广州,510515 |
| |
| 基金项目： | 国家重点基础研究发展计划(973计划)
,
广东省科技厅科技计划 |
| |
| 摘 要： | 在传统的模糊聚类算法中引入了核函数,同时引入了控制邻域作用的约束项,提出了改进的基于模糊核聚类的MR图像分割新算法.通过对模拟图和仿真的脑部MR图像的分割实验,证明本算法可以有效地分割含有噪声的图像.
|
| 关 键 词： | 图像分割 模糊核聚类 邻域信息 磁共振图像 模糊核聚类 图像分割 模糊聚类算法 clustering fuzzy kernel based image segmentation magnetic resonance 有噪声 实验 脑部 仿真 模拟图 改进 约束项 作用 邻域 控制 核函数 |
| 文章编号： | 1673-4254(2008)04-0555-03 |
| 修稿时间： | 2007年11月25 |
A new algorithm for magnetic resonance image segmentation based on fuzzy kerne1 clustering |
| |
| YU Xue-fei,LI Bin,CHEN Wu-fan.A new algorithm for magnetic resonance image segmentation based on fuzzy kerne1 clustering[J].Journal of Southern Medical University,2008,28(4):555-557. |
| |
| Authors: | YU Xue-fei LI Bin CHEN Wu-fan |
| |
| Institution: | School of Biomedical Engineering, Southern Medical University, Guangzhou 510515ìChina. xuefeiyu@fimmu.com |
| |
| Abstract: | OBJECTIVE: Fuzzy clustering technique is a popular model widely used in the segmentation of magnetic resonance (MR) images. However, when the conventional fuzzy clustering algorithm is used for image segmentation, the algorithm strictly depending on the current pixels works only on images with less noise. In the paper, we presented a modified fuzzy kernel clustering algorithm for MR image segmentation. The new algorithm incorporates a kernel-induced distance mertric and a penalty term that controls the neighborhood effect to the objective function. The results of experiment on both the synthetic images and simulated MR images show that the proposed algorithm is more robust to noise than the standard fuzzy image segmentation algorithms. |
| |
| Keywords: | image segmentation fuzzy kernel clustering neighborhood information magnetic resonance images |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《南方医科大学学报》浏览原始摘要信息 |
| 点击此处可从《南方医科大学学报》下载免费的PDF全文 |
