%0 Journal Article
%T An Evaluation Method for Image Registration by Machine Learning<br>一种基于学习的自动图像配准检验方法
%A LI Xiao-Ming
%A ZHANG Ji-Fu
%A <br>李晓明
%A 张继福
%J 自动化学报
%D 2008
%I 
%X Image registration is a key step in many real applications,such as image fusion and change detection. However,after transforming the reference image,it is usually difficult to assess whether the transformed image is indeed registered with the target image.The underlying reason is that a suitable measure is unavailable currently in literature to adequately evaluate the similarity of two images.In contrast to the traditional evaluation methods,in this paper,the registration evaluation problem is converted into a classification problem through machine learning.Experiments based on 400 pairs of images demonstrate the validity and reliability of our proposed method.Although the proposed method is specifically designed for Fourier-Mellin transform based registration technique,its basic principles could also be applied to other registration techniques.
%K Image registration
%K evaluation measure
%K classification by machine learning
%K Fourier-Mellin transform<br>图像配准
%K 检验准则
%K 基于学习的分类
%K Fourier-Mellin变换
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=C4D0B5146F914CA2E4317D4B18E01858&yid=67289AFF6305E306&vid=339D79302DF62549&iid=CA4FD0336C81A37A&sid=DF92D298D3FF1E6E&eid=FC0714F8D2EB605D&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=9