摘要
由于CMOS线阵相机采集的弹丸图像背景灰度不均匀、亮度不足等,常用的目标提取算法应用在弹丸图像信息提取中存在捕获率低、精度不高等问题.通过对弹丸图像本身的分析研究,设计了一种基于二次提取快速获得弹丸图像信息的算法,可以快速定位弹丸位置,准确获得弹丸坐标.结果表明,此算法可显著消除背景噪声影响,相比于常规的目标提取算法,使用该算法获得的弹丸坐标精度更高,可达到2.3 mm,在现代靶场测试活动中具有实用意义.
Due to the uneven background grayscale and insufficient brightness of projectile image collected by CMOS linear array camera,some problems such as low capture rate and low precision in the application of common target extraction algorithm uesd in projectile image information extraction.Through the analysis and research of the projectile image itself,this paper designs an algorithm based on the secondary extraction to quickly obtain projectile image information,which can fast locate the projectile position and obtain the projectile coordinates accurately.The experimental results show that this algorithm can significantly eliminate the influence of background noise.Compared with the conventional target extraction algorithm,the accuracy of projectile coordinates obtained by this algorithm is higher,which can reach 2.3 mm,and it has practical significance in modern range testing activities.
作者
张迎
江剑
路卓
王杰兵
ZHANG Ying;JIANG Jian;LU Zhuo;WANG Jiebing(School of Mechanical and Engineering, Naijing University of Science and Technology, Nanjing 210094, China)
出处
《测试技术学报》
2021年第5期430-435,共6页
Journal of Test and Measurement Technology
关键词
线阵CMOS
图像处理
弹丸坐标
目标提取
linear array CMOS
image processing
projectile coordinates
target extraction
