红外技术Issue(10)：820-826,7.
一种改进的联合点特征与灰度特征的红外图像配准算法研究
Investigation on Improved Infrared Image Registration Algorithm Based on Point Feature and Gray Feature
摘要
Abstract
On the basis of research of principle and characteristics of infrared image and the traditional infrared image registration method, this paper presents an improved infrared image registration algorithm based on point feature and gray feature. The algorithm uses the classical Harris corner detection algorithm to extract the first corner, then down ranks the first corner, divides the result into different parts and extracts the median of each part. Finally, it effectively uses median to select different feature points according to the image registration needs. The algorithm matches the feature points by making full use of therotation invariance of annular region and feature point region of which gray difference is very small. The experimental results show that the algorithm can extract more accurate matching point, can effectively complete the infrared image registration.关键词
红外图像/Harris角点检测/灰度区域/图像配准Key words
infrared image/Harris corner detection/gray region/image registration分类
信息技术与安全科学引用本文复制引用
赵德利,朱尤攀,吴诚,李泽民,曾邦泽,罗琳,杨鹏伟,王冰,李燕..一种改进的联合点特征与灰度特征的红外图像配准算法研究[J].红外技术,2014,(10):820-826,7.基金项目
国防预研项目。 （）
