摘要
针对枪弹位置的线阵CCD测量图像信息处理问题,研究了线阵CCD在测量枪弹射击中枪弹的提取、噪声的剔除、枪弹中心的确定等问题。常用的背景差分算法在实际系统的运算过程中存在速度慢、噪声多等问题,根据线阵CCD测量系统采集到的枪弹图像信息的特点,提出了在背景差分法的基础上通过图像的一种改进的互相关性快速提取枪弹图像的算法,进而确定枪弹位置。通过比较该算法和背景差分法对枪弹图像的采集与处理,可以得出用该算法计算出的枪弹位置精确度高,耗时短,提高了线性CCD测量系统实时处理的效率,在连发的高精度自动报靶系统中具有一定的实用性。
In response to the linear CCD image information processing problems,such issues are studied as the extraction of linear CCD bullets in the measurement of firings,the deletion of noise,the determination of bullet centers,etc. Problems existing in the actual system operation process of algorithms for background difference include slow speed and much noise. According to the characteristics of collected bullets image information through linear CCD measuring system,the cross-correlation rapid extraction of bullets image is to be presented through image on the basis of background subtraction,and then the center of the bullets position is to be determined. Through image acquisition and processing of bullets,a comparison is made of the algorithm and background subtraction. It is concluded that the algorithm can be used to calculate the bullets position with great accuracy and less time with the efficiency of real-time processing improved. In the continuous shooting high precision automatic target scoring system,it has certain practicability.
出处
《火炮发射与控制学报》
北大核心
2016年第4期20-24,共5页
Journal of Gun Launch & Control
关键词
线阵CCD
枪弹位置
高精度
图像处理
linear CCD
bullet position
high precision
image processing