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均值移动算法收敛性及均值移动矢量夹角分析
引用本文:郭庆昌,王敏毅.均值移动算法收敛性及均值移动矢量夹角分析[J].计算机工程与应用,2010,46(7):34-38.
作者姓名:郭庆昌  王敏毅
作者单位:中国船舶重工集团公司 第七一○研究所,湖北 宜昌 443000
摘    要:均值移动算法是一种统计迭代算法,目前在图像处理中得到了广泛应用。但是对其性质的分析仍然不完善,针对以往文献对均值移动算法收敛性证明的错误和不足,根据柯西收敛定理严格证明了均值移动算法的收敛性;证明了基于任意核,两连续均值移动矢量的夹角都不大于90°。

关 键 词:均值移动  收敛性  柯西收敛定理  
收稿时间:2008-9-23
修稿时间:2008-12-22  

Analysis on convergence of mean-shift and angle of continuous mean-shift vector
GUO Qing-chang,WANG Min-yi.Analysis on convergence of mean-shift and angle of continuous mean-shift vector[J].Computer Engineering and Applications,2010,46(7):34-38.
Authors:GUO Qing-chang  WANG Min-yi
Affiliation:CSIC-710 Research and Department Institute,Yichang,Hubei 443000,China
Abstract:Mean shift is an effective iterative algorithm.It has been widely used in the image processing and computer vision,but whose properties are not been perfectly proved.The convergence of the mean-shift is proved according to cauchy convergence criterion for the wrong and deficiency at the literatures.The angle of the mean shift vectors based on the arbitrary kernel in the same window is less than 90 degree.
Keywords:mean-shift  convergence  Cauchy convergence criterion
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