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一种基于FCM的图像分割方法
引用本文:彭立军,何灵敏,杨小兵.一种基于FCM的图像分割方法[J].中国计量学院学报,2011,22(4):369-372.
作者姓名:彭立军  何灵敏  杨小兵
作者单位:中国计量学院信息工程学院,浙江杭州,310018
摘    要:提出一种新的图像分割方法 FWFCM(fast walvet fuzzy C-means method),该方法对图像像素点的灰度进行模糊隶属度的分析,将需要聚类的像素空间投影到灰度直方图空间,从而减少了经典FCM算法的迭代计算量,提高了算法的收敛速度;并且利用小波变换的多分辨率的分析,抑制噪声点对图像分割的影响,提高了图像分割的精度.

关 键 词:模糊C均值  小波变换  灰度直方图

A picture segmentation method based on FCM
PENG Li-jun,HE Ling-min,YANG Xiao-bin.A picture segmentation method based on FCM[J].Journal of China Jiliang University,2011,22(4):369-372.
Authors:PENG Li-jun  HE Ling-min  YANG Xiao-bin
Affiliation:PENG Li-jun,HE Ling-min,YANG Xiao-bin(College of Information Engineering,China Jiliang University,Hangzhou 310018,China)
Abstract:Fast wavelet fuzzy C-means method(FWFCM) a new method of image segmentation was put forward,the method of gray image pixels on the analysis of the fuzzy membership,would need to clustering pixel space projection gray histogram,reduced space to the classic iteration of FCM algorithm of calculation and improve the algorithm convergence speed,and by using wavelet transform multiresolution analysis,It reduces the noise points on image segmentation,improves the effect of the image segmentation accuracy.
Keywords:fuzzy C-means  wavelet transform  grayscale histogram  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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