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一种改进的FCM多分辨率图像分割算法及其应用
引用本文:万永菁,林家骏. 一种改进的FCM多分辨率图像分割算法及其应用[J]. 华东理工大学学报(自然科学版), 2007, 33(3): 419-424
作者姓名:万永菁  林家骏
作者单位:华东理工大学信息科学与工程学院,上海,200237
摘    要:提出了一种改进的模糊C均值聚类多分辨率图像分割算法,该算法利用像点的邻域信息对像点的模糊隶属度函数进行修正。实验证明:该算法具有对噪声不敏感的优点,在进行图像分割,特别是对含噪图像进行分割时能获得较好的效果。

关 键 词:模糊C均值聚类(FCM)  邻域信息  多分辨率  图像分割  
文章编号:1006-3080(2007)03-0419-06
修稿时间:2006-11-08

An Improved FCM Multi-resolution Image Segmentation Algorithm and Its Applications
WAN Yong-jing,LIN Jia-jun. An Improved FCM Multi-resolution Image Segmentation Algorithm and Its Applications[J]. Journal of East China University of Science and Technology, 2007, 33(3): 419-424
Authors:WAN Yong-jing  LIN Jia-jun
Affiliation:School of Information Science and Engineering;East China University of Science and Technology;Shanghai 200237;China
Abstract:An improved fuzzy C-means multi-resolution image segmentation algorithm is proposed.The fuzzy membership function of pixel is modified by the adjacent field information in the algorithm.It is proved that the proposed method has the advantage of less sensitiveness to noise and it can get better segmentation result especially to noisy image segmentation.
Keywords:fuzzy C-means(FCM)  adjacent field information  multi-resolution  image segmentation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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