| 一种基于水平集的医学图像分割算法 |
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| 引用本文： | 李玥,唐庆玉.一种基于水平集的医学图像分割算法[J].北京生物医学工程,2005,24(5):370-372. |
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| 作者姓名： | 李玥 唐庆玉 |
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| 作者单位： | 清华大学生物医学工程系,北京,100084;清华大学生物医学工程系,北京,100084 |
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| 摘 要： | 对Chan和Vese提出的活动轮廓线图像分割算法进行改进,用边界统计特性代替Chn-Vese方法中的区域统计特性.在图像分割的每次迭代中,首先根据当前曲线找到其边界统计特性,然后代入演化方程以使曲线运动到目标边界上,并用水平集方法实现.实验结果表明该算法在器官轮廓分割中是有效的.
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| 关 键 词： | 活动轮廓线 图像分割 水平集 |
| 文章编号： | 1002-3208（2005）05-0370-03 |
| 收稿时间： | 2004-04-14 |
| 修稿时间： | 2004年4月14日 |
A Segmentation Algorithm for Medical Images Based on Level Sets |
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| LI Yue,TANG Qingyu.A Segmentation Algorithm for Medical Images Based on Level Sets[J].Beijing Biomedical Engineering,2005,24(5):370-372. |
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| Authors: | LI Yue TANG Qingyu |
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| Institution: | Department of Biomedical Engineering, Tsinghua University, Beijing 100084 |
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| Abstract: | The active contour method proposed by Chan and Vese is improved. The boundary statistics is used instead of the region statistics in Chan-Vese's method. In every iteration of image segmentation, firstly the corresponding boundary statistics of the current curve is found, then it is driven in evolutive equation, finaly the curveis moved to capture the object's boundary under the level sets framework. Experimental result shows the effectiveness of the proposed method. |
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| Keywords: | active contour image segmentation level sets |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
