基于图像处理的炮弹跳角测量方法研究

传统的跳角测量方法,由于人工误差和实用性较弱,大部分有测量效率低、误差大、实用性小、测量范围窄等缺点。针对这些问题,提出一种基于图像处理的炮弹跳角测量方法。使用相机在炮筒中采集炮口图像,通过改进圆拟合算法检测炮口图像的中心位置;在双目摄像机的标定下得出炮弹射击目标点的位置,将炮口图像中心位置瞄准火炮射击目标后实弹射击;在数据处理中,计算得出炮弹初速度矢量的方向,结合炮口图像中心位置的瞄准方向,计算出火炮跳角的大小。实验结果表明,改进算法提高系统抗干扰能力的同时还提高炮口图像中心定位的精确度。拟合结果显示,改进的算法得到的炮口中心与理想中心之间的误差小于0.20个像素,具有较高的精度。

MEASUREMENT METHOD OF BULLETS JUMP ANGLE BASED ON IMAGE PROCESSING

The traditional measurement method of bullets jump angle has the disadvantages of low measurement efficiency,large error,small practicability and narrow measurement range due to artificial errors and weak practicality.Aiming at these problems,we propose a measurement method of bullets jump angle based on image processing.It used a camera to collect the images of the gun muzzle in the barrel,and detected the center position of the gun muzzle image through an improved circle fitting algorithm.Under the calibration of the binocular camera,we could obtain the position of the target point of the shell shooting,and aimed at the center position of the muzzle image at the target of the gun and then shot with real bullets.In the data processing,the direction of the initial velocity vector of the bullets was calculated,and the size of the bullets jump angle was calculated according to the aiming direction of the center position of the muzzle image.The experimental results show that the improved algorithm improves the anti-interference ability and the accuracy of the muzzle image center location.The fitting results show that the error between the muzzle center and the ideal center obtained by the improved algorithm is less than 0.20 pixels,which has higher precision.