基于双目视觉的信号弹飞行高度轨迹测量  

Signal Flare Altitude Trajectory Measurement Based on Binocular Vision System

作　　者：李天宇 王明泉[1] 郝利华[1] 檀桢 LI Tian-yu;WANG Ming-quan;HAO Li-hua;TAN Zhen(Key Laboratory of Instrumentation Science&Dynamic Measurement of Ministry of Education,North University of China,Taiyuan 030051,China)

机构地区：[1]中北大学仪器科学与动态测试教育部重点实验室,太原030051

出　　处：《自动化与仪表》2021年第2期39-43,49,共6页Automation & Instrumentation

基　　金：国家重大科学仪器设备开发专项项目(2013YQ240803);山西省重点研发计划项目(201803D121069);山西省应用基础研究项目面上自然基金项目(201801D121162)。

摘　　要：信号弹的飞行高度是衡量信号弹质量的重要指标。该文以信号弹为测量目标,使用双目视觉系统对其飞行过程进行图像序列采集,通过背景减除算法从图像中分割ROI,采用自适应阈值二值化方法定位信号弹目标质心坐标,经多帧数据混合处理自动生成其飞行高度轨迹曲线并输出其最高点高度值。实验证明系统测得的信号弹飞行高度值与高度变化曲线能够有效还原信号弹的飞行轨迹。The altitude which a signal flare can fly is an important indicator of the quality of the signal flare.In this paper,binocular vision system are used for image sequence acquisition during signal flares flight.The region of interest in each picture is parted by the background subtraction algorithm and the coordinations of the signal flare barycenter are located by use of an adaptive binarization method.After mixed processing of multi-frame data,the algorithm will generate the altitude trajectory curve of the signal flare automatically and outputs its maximum altitude value.The experimental results show that the method can better measure the altitude of the signal flare and automatically plot the altitude curve and restore the altitude trajectory of the signal flare in the meantime.

关 键 词：双目视觉 高度测量 运动目标分割 自动测量 飞行轨迹 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]