| 快速模糊C均值聚类的图像分割方法 |
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| 引用本文： | 李志梅,肖德贵.快速模糊C均值聚类的图像分割方法[J].计算机工程与应用,2009,45(12):187-189. |
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| 作者姓名： | 李志梅 肖德贵 |
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| 作者单位： | 1. 湖南大学,计算机通信学院,长沙,410079;桂林航天工业高等专科学校,计算机系,广西,桂林,541004
2. 湖南大学,计算机通信学院,长沙,410079 |
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| 摘 要： | 模糊C均值(FCM)聚类算法广泛应用于图像的自动分割,但标准的FCM算法存在计算量大,运算速度慢等问题。对FCM算法进行改进,提出了一种快速FCM图像分割算法(FFCM),该算法将图像从像素空间映射到其灰度直方图特征空间,并在此基础上,充分利用像素的邻域特性,对隶属度函数做一定改进,实验结果表明该算法能快速有效地分割图像,并具有较好的抗噪能力。
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| 关 键 词： | 模糊C均值(FCM) 聚类 图像分割 |
| 收稿时间： | 2008-7-9 |
| 修稿时间： | 2008-11-10
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Fast fuzzy C-Means clustering for image segmentation |
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| LI Zhi-mei,XIAO De-gui.Fast fuzzy C-Means clustering for image segmentation[J].Computer Engineering and Applications,2009,45(12):187-189. |
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| Authors: | LI Zhi-mei XIAO De-gui |
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| Affiliation: | LI Zhi-mei1,2,XIAO De-gui1 1.School of Computer , Communication,Hunan University,Changsha 410079,China 2.Department of Computer Technology,Guilin College of Aerospace Technology,Guilin,Guangxi 541004,China |
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| Abstract: | FCM clustering algorithm is widely applied to automated image segmentation.But standard FCM algorithm has many problems,such as great amount of calculation and slow operation speed.This paper proposes a modified fast FCM algorithm for image segmentation.With the modified algorithm,images can be mapped to gray-scale histogram space from pixel space,on the basis of which membership function can be improved by the full use of pixel's neighborhood feature.The new algorithm is shown to be effective in image segm... |
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| Keywords: | Fuzzy C-Means（FCM） clustering image segmentation |
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