摘要
作为一种重要的分类器,模糊聚类技术在磁共振图像的分割中已经得到了成功的应用,并成为了一种有效的磁共振图像的分割工具。尽管如此,模糊聚类技术在图像分割中仍然存在着一些不确定的因素,集中表现在模糊聚类的参数选择方面,如模糊指数、聚类数和距离范数的选择。这些参数的选择问题直接影响模糊聚类的速度和精度。本文对这些问题进行了系统地研究和讨论,并针对磁共振脑图像,给出了参数选择方案。
As an important classifier, fuzzy clustering technique has been widely used in segmentation of MRI image and became an effective segmentation tool of MR image. But some uncertain factors still exist in fuzzy clustering when it is used to segment MR image. These factors, such as the different choice of fuzziness index m, the number of fuzzy clustering c and the distance norm A, affect the speed and precision of fuzzy clustering of MR image tremendously. Specifying the MR image as the object of fuzzy clustering, systematical study and discussion to these uncertain factors, the scheme of parameters choice of fuzzy segmentation is given by this paper.
出处
《中国医学物理学杂志》
CSCD
2004年第2期75-78,82,共5页
Chinese Journal of Medical Physics
基金
上海市高等学校科学技术发展基金项目(2000b01
关键词
模糊聚类
图像分割
参数选择
fuzzy clustering
image segmentation
parameters choice
