| 结合空间信息的模糊C均值聚类的图像分割算法 |
| |
| 引用本文： | 李丽君.结合空间信息的模糊C均值聚类的图像分割算法[J].辽宁石油化工大学学报,2010,30(4). |
| |
| 作者姓名： | 李丽君 |
| |
| 作者单位： | 辽宁石油化工大学理学院,辽宁抚顺,113001 |
| |
| 基金项目： | 辽宁省教育厅资助项目(2008380) |
| |
| 摘 要： | 针对传统的模糊C均值聚类算法未考虑图像的空间信息,对噪声图像分割不理想,提出了一种结合空间信息的模糊C均值聚类的图像分割算法。此算法充分考虑像素的邻域特性,对隶属度函数做一定的修改,并将局部信息和非局部信息引入到数据和聚类中心的相异性测度中。实验结果表明,该算法能有效地分割图像,并具有较好的抗噪能力。
|
| 关 键 词： | 模糊C均值 聚类 图像分割 |
Fuzzy C-Means Clustering Algorithm With Spatial Information for Image Segmentation |
| |
| LI Li-jun.Fuzzy C-Means Clustering Algorithm With Spatial Information for Image Segmentation[J].Journal of Liaoning University of Petroleum & Chemical Technology,2010,30(4). |
| |
| Authors: | LI Li-jun |
| |
| Affiliation: | LI Li-jun(School of Sciences,Liaoning Shihua University,Fushun Liaoning 113001,P.R.China)Received 29 June 2010,revised 12 September 2010,accepted 25 September 2010 |
| |
| Abstract: | The conventional fuzzy C means clustering algorithm couldn't consider any spatial information,and it is no good to noise image segmentation.In order to overcome this shortcoming,a fuzzy C-means clustering algorithm using spatial information for image segmentation was proposed.The new algorithm could make full use of pixel's neighborhood feature by improving the membership function,furthermore local information and non local information were introduced in dissimilarity of data and clustering center.Experimen... |
| |
| Keywords: | Fuzzy C-means Clustering Image segmentation |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
