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| 论文题目 |
基于水平集的弱边缘医学超声图像分割算法 |
| 论文题目（英文） |
Segmentation of medial ultrasound images with weak contour based on level set method |
| 作者 |
闫晟 |
| 发表年度 |
2008 |
| 卷 |
31 |
| 期 |
5 |
| 页码 |
28-31 |
| 期刊名称 |
电子测量技术 |
| 摘要 |
图像分割在医学超声图像的定量、 定性分析中均扮演着重要的角色,并直接影响到后续的分析、 处理工作。但在医学超声图像中,待分割的图像目标经常包括弱边缘,这为利用传统图像分割算法对目标进行分割带来了困难。本文通过对Chan 2Vese水平集方法进行研究,利用零水平集曲线的平均边缘能量来对其演化速度进行控制,实现了对图像中目标弱边缘的检测。本文方法在对包含弱边缘的医学超声图像进行分割时,得到了很好的效果。
关键词: 图像分割; 水平集算法; 目标边缘 |
| 摘要_英文 |
Image segmentation plays an important role in the quantitative or qualitative analysis of medical ult rasound images ,and directly affect s the follow2up processing. But inult rasound images ,weak contour always surrounds the objects. It is difficult to use traditional methods to segment this kind of images. This paper presents amodified ChanVese level set method for segmentation of medical images with weak contour . In this method ,average contour energy is used to cont rol the evolution speed of the zero level set so that week contour can be detected correctly. It demonst rates the performance of this method for clinical ult rasound images segmentation.
Keywords : image segmentation ; level set ; object contour |
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