%0 Journal Article
%T Image Registration Based on Well-Distributed Corners with Sub-Pixel Localization<br>基于良分布的亚像素定位角点的图像配准
%A Ge Yong-xin
%A Yang Dan
%A Lei Ming
%A <br>葛永新
%A 杨 丹
%A 雷 明
%J 电子与信息学报
%D 2010
%I 
%X To deal with the false and unstable corners, high computational complexity and incorrect matching, a new image registration algorithm is proposed based on corners which are well-distributed in image and with sub-pixel localization precision. Firstly corners in an image are detected by multi-scale Harris operator, which are taken as initial interest points. And then adaptive non-maximal suppression is used to limit the number of interest points, so the computational complexity is decreased and the efficiency of the algorithm is improved. At the mean time, the corners are made to be well-distributed in image. Since the location of initial Harris corners have offset and false corners have existed, sub-pixel localization technique is applied to determine the location of corners and eliminate the false and unstable corners in this process. Finally, RANSAC is used to estimate the parameters robustly based on initial matching. Experiments showed that the proposed algorithm has a good performance of efficiency, accuracy and robustness.
%K Image registration
%K Sub-pixel localization
%K Well-distributed
%K RANdom SAmple Consensus (RANSAC)<br>图像配准
%K 亚像素定位
%K 良分布
%K 随机抽样一致性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7C88953170944907266514FA3CB6C5CF&yid=140ECF96957D60B2&vid=9971A5E270697F23&iid=0B39A22176CE99FB&sid=CB3428B1EFB1C133&eid=4BEA9A781F286FC6&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=16