%0 Journal Article
%T Adaptive regularization registration algorithm based on feature<br>基于特征的自适应正则化配准算法*
%A MA Jin-guang
%A WANG Zhen-song
%A LIU Xiao-yun
%A <br>马金光
%A 王振松
%A 刘晓云
%J 计算机应用研究
%D 2011
%I 
%X Andriy Myronenko proposed an adaptive regularization method and had applied it to non-rigid image registration. This method can achieve a good effect at registration speed and accuracy. But it makes a failure registration because of trapping into local minima when the initial deformable filed is chosen irrelevantly. In this paper, to using the algorithm extensively ,we gained the initial value of the deformable field by rough-registration based on feature point. Because the initial deformable field is close to the real value, the local minima can be overcome and format a correct result. By this way, the practicality and the accuracy of the algorithm have been enhanced.
%K adaptive regularization
%K local minima
%K rough registration
%K non-rigid
%K feature<br>自适应正则化
%K 局部极小值
%K 粗配准
%K 非刚性配准
%K 特征
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CB56CD7DB3CDF05E4842450F5AA84608&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=E1A672EC0009AD2E&eid=6DFA6D6027DC6023&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10