摘要
为了实现将视场小、变化快的红外搜索系统视频图像拼接成全景图像,根据红外搜索系统具有确定像空间位置变化信息的特点,提出了一种结合图像位置信息和模板匹配的的红外图像拼接算法。该算法有效的解决了传统的区域配准拼接算法运算速度慢和基于特征配准拼接算法精度差的不足,具有运算速度快、配准精度高的优点。为了验证该算法的有效性,利用采集到的红外搜索系统试验视频进行了仿真计算,从仿真的结果看,该算法相对于传统算法,大大提高了运算速度和匹配精度。
In order to achieve the small field of view, change fast infrared search system of video image mosaic into panoramic images, according to the characteristics of infrared search system has a determine spatial position change information, proposed a combination of image position information and template matching infrared image mosaic algorithm. The algorithm can effectively solve the slow speed of traditional regional registration algorithm and the poor accuracy of registration algorithm based on feature, has the advantages of high speed and high registration accuracy. In order to verify the validity of the algorithm, simulation was carried out using infrared search system test video, the simulation results show that the algorithm has faster speed and higher accuracy than the traditional algorithm.
出处
《数字技术与应用》
2014年第3期108-109,111,共3页
Digital Technology & Application
关键词
红外搜索
红外图像
图像拼接
位置信息
模板匹配
infrared search infrared image image mosaic location information templet matching
