%0 Journal Article
%T Estimating mutual information of image by fast Gaussian transform<br>应用快速高斯变换估计图像互信息
%A JIANG Hong
%A HU Yong-xiang
%A ZHU Wen-qiu
%A <br>蒋鸿
%A 胡永祥
%A 朱文球
%J 计算机应用
%D 2008
%I 
%X A new fast algorithm was presented to accelerate the computation of mutual information of images based on kernel density estimate. This algorithm adopted gauss function as kernel function, and then used fast Gaussian transform to reduce time complexity and improved the fast Gaussian transform by k-center clustering. The new algorithm can evaluate the mutual information in linear time complexity and experiments show it is very efficient.
%K mutual information
%K fast Gauss transform
%K kernel density estimate
%K k-center clustering
%K image registration<br>互信息
%K 快速高斯变换
%K 核密度估计
%K k中心聚类
%K 图像配准
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0E2E801C51271A760884A444F7D0E4BB&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=38B194292C032A66&sid=34D13857B558254E&eid=6D25DD85174CF6DB&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=23