%0 Journal Article
%T Automatic Registration of Visible and Infrared Images Based on Corners and Hu Invariant<br>基于角点和Hu矩不变量的可见光和红外图像自动配准方法
%A DOU Jian-fang
%A LI Jian-xun
%A <br>窦建方
%A 李建勋
%J 红外
%D 2011
%I 
%X According to the automatic registration of visible and infrared images, a new method based on Harris Corner and Hu invariant is proposed. In this method, the adaptive thresholds are used to segment visible and infrared images and the Harris factors are used to detect the corners in the segmented visible and infrared images respectively. After analyzing the correlation of the corner neighborhoods in the original images, the coarse corner matching is realized. Then, the RANSAC algorithm is used to remove the outliers in the coarse matched corners and the Hu invariant is used to further filter the wrong matching. Finally, by using the matched corner as the control point of projection transformation, a projection transformation model is obtained. The model can be used to conduct the projection transformation of the images to be matched and make the images registered. The experimental result shows that the method has a high accuracy in registration and can automatically register the visible and infrared images.
%K image registration
%K corner
%K Harris factor
%K projective transformation
%K HU invariant
%K RANSAC<br>图像配准
%K 角点
%K Harris
%K 因子
%K 透视变换
%K Hu矩不变量
%K RANSAC算法
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=3723000AE493FCE650601982177048B1&aid=39B6DAD90A04AD7516BD80FB0B1ECBD3&yid=9377ED8094509821&vid=9971A5E270697F23&iid=DF92D298D3FF1E6E&sid=EA389574707BDED3&eid=DB817633AA4F79B9&journal_id=1672-8785&journal_name=红外&referenced_num=0&reference_num=8