%0 Journal Article
%T Automatic fundus images mosaic based on SIFT feature<br>基于SIFT特征的眼底图像自动拼接
%A Wang Yuliang
%A Shen Jianxin
%A Liao Wenhe
%A <br>王玉亮
%A 沈建新
%A 廖文和
%J 中国图象图形学报
%D 2011
%I 
%X In this paper, a SIFT feature based fundus image automatic mosaic algorithm is presented, according to the characteristics of low contrast and the geometric distortion between different fields of the view of the fundus image. The SIFT features of fundus images are extracted and described using vector to determine the feature points matching between two images, and outlier points are removed using MLESAC algorithm. A distance-slope similarity measure method is put forward to purify feature points, then the perspective transformation matrix is computed according to matching points between images, and image registration and image mosaic is implemented finally. The mosaic results of multiple images obtained by fundus camera show that the algorithm has good robustness and stability, and high-precision automatic fundus image mosaic can be achieved.
%K SIFT
%K image registration
%K image fusion
%K images mosaic
%K fundus images
%K distance-slope similarity measure<br>SIFT
%K 图像配准
%K 图像融合
%K 图像拼接
%K 眼底图像
%K 距离-斜率相似测度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=34EB3FFA22053F29F1B7CC9AAB6B77C2&yid=9377ED8094509821&vid=7801E6FC5AE9020C&iid=E158A972A605785F&sid=BBA8B1249CDAA6CE&eid=00520952CD4BF212&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=10