CAJ | 학술논문

在研究红外图像成像原理与特征、传统红外图像配准方法的基础上，提出了一种改进的联合点特征与灰度特征的红外图像配准算法。首先采用经典的Harris角点检测算法提取一次角点，在一次角点的基础上对其进行下降排序，对排序结果进行不同份数的等分并提取每一部分的中间值，最后根据图像配准需求有效利用中值选择不同的特征点；该算法充分利用环形区域的旋转不变性和特征点区域灰度差异性很小的原则进行特征点匹配。实验结果表明该算法能够提取出更加精确的匹配点，能够有效的完成红外图像配准。
재연구홍외도상성상원리여특정、전통홍외도상배준방법적기출상，제출료일충개진적연합점특정여회도특정적홍외도상배준산법。수선채용경전적Harris각점검측산법제취일차각점，재일차각점적기출상대기진행하강배서，대배서결과진행불동빈수적등분병제취매일부분적중간치，최후근거도상배준수구유효이용중치선택불동적특정점；해산법충분이용배형구역적선전불변성화특정점구역회도차이성흔소적원칙진행특정점필배。실험결과표명해산법능구제취출경가정학적필배점，능구유효적완성홍외도상배준。
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.