摘要
本文针对现有图像配准方法存在的问题 ,提出了一种新的基于特征的图像对准算法 ,利用差值数据中最大包与次大包之间的距离来配准相邻图像 ,研究结果表明该算法在提高拼接精度的基础上 ,大大提高了配准的稳定性 ,是一种快速实用的拼接算法。
In this paper,the problems existing in current image registration are firstly analyzed,then a new image registration algorithm based on feature is presented,in which overlapping images are stitched through the distance between maximum envelope and its submaximum envelope of difference.The results show that the precision of mosaic is increased largely and the stability of mosaic is excellent with the algorithm,it is a rapid and applied algorithm of image mosaic.
出处
《计算机应用与软件》
CSCD
北大核心
2003年第7期56-58,共3页
Computer Applications and Software
关键词
远程医疗
病理诊断
病理切片图片拼接算法
图像拼接
Image mosaic Difference data Maximum envelope Submaximum envelope Distance between two envelopes
