机载光电跟踪系统连续帧图像快速识别定位  

Fast Identification and Location for Series Image of Airborne Electro-optical Tracking System

作　　者：王国富[1,2] 欧阳缮[1] 刘庆华[1] 丁勇[1] 

机构地区：[1]桂林电子科技大学信息与通信学院,桂林541004 [2]中国科学院西安光学精密机械研究所,西安710119

出　　处：《光电工程》2009年第1期36-40,共5页Opto-Electronic Engineering

基　　金：国防重点实验室基金资助项目(51448030105ZK1801);桂林电子科技大学博士基金资助(UF08017Y);广西信息与通讯技术重点实验室资助(10907)

摘　　要：针对机载光电跟踪系统连续帧图像快速识别、准确定位的要求,本文在深入分析连续图像序列特性和机载光电跟踪系统特点的基础上,结合精密转台的运动变化信息,提出了基于转角信息的连续帧图像处理算法。该方法根据精密转台的转角变化信息,采用连续的图像序列进行多帧间差值运算以获得目标残差图,残差图之间相乘除去大部分随机噪声点,结合中值滤波和自适应波门跟踪算法,大大的减小了运算量,实现了运动目标的快速跟踪定位。通过对目标实测图像序列的试验,结果表明,该算法具有快速、稳定等优点,能满足机载光电跟踪系统实时图像跟踪的要求。To meet the special demands of airborne electro-optical tracking system for rapid recognition and accurate positioning, a fast identification and location algorithm is required. Through the in-depth characteristics analysis of continuous images sequence and airborne electro-optical tracking system and integrated with variation and movement information of precision turntable, an image processing algorithms is put forward based on the information corner. On the basis of the comer variation information of precision turntable, we obtain the margin target residual map through difference computing among a row of multi-frame image sequence. Combing with the median filtering and adaptive gate tracking algorithm, we multiply the residual map to remove most random noise. The method can greatly reduce the computing capacity and achieve the objectives of fast tracking of moving targets. Result of target image sequence test shows that the algorithm is fast and stable and thus can meet the requirements of the airborne electro-optical tracking system for tracking real-time image

关 键 词：机载光电跟踪系统 连续帧图像 图像处理算法 自适应波门 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]