%0 Journal Article
%T Study on Local Maxima Problem of Mutual Information in Different Resolution Images Registration<br>图像插值方法对互信息局部极值的影响分析
%A Yang Xuan
%A Pei Ji-hong
%A Xie Wei-xin
%A <br>杨烜
%A 裴继红
%A 谢维信
%J 电子与信息学报
%D 2006
%I 
%X Mutual information has been used as a similarity metric in medical image registration. The probabilities of mutual information may be estimated by normalization of the joint intensity histogram, which is obtained by binning the intensity pair of the overlapping parts of the reference image and the floating image. However, image interpolation would create new intensity pairs and may cause local maxima of mutual information. In this paper, local maxima of mutual information are analyzed using linear interpolation and near neighborhood interpolation for different resolution images. Analysis results show that mutual information contains less local maxima when linear interpolation is used, and contains local maxima when near neighborhood interpolation is used. Experiments show the validity of the results. All these results are benefit to multimodal medical image registration.
%K Image registration
%K Mutual information
%K Image interpolation<br>图像配准
%K 互信息
%K 图像插值
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=2F802ED5A35ABB55&yid=37904DC365DD7266&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=FAF71E26421EE61B&eid=F654D651B5009E39&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=7