Image test system for gun stabilization accuracy

SUN Ze-lin; WANG Zhao; LI Ming

doi:10.3788/OPE.20122001.0157

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Image test system for gun stabilization accuracy

Article | 更新时间：2020-08-12

- Image test system for gun stabilization accuracy
- Optics and Precision Engineering Vol. 20, Issue 1, Pages: 157-164(2012)
- 作者机构：
  
  1. 西安交通大学制造系统与质量工程研究所,陕西西安,710049
  2. 中国人民解放军63870部队,陕西华阴,714200
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20122001.0157
  CLC： TH745.2;TP391.41
- Received：07 July 2011，
  
  Revised：06 September 2011，
  
  Published Online：25 January 2012，
  
  Published：25 January 2012
- 稿件说明：
移动端阅览
孙泽林, 王昭, 李明. 火炮稳定精度图像测试系统[J]. 光学精密工程, 2012,20(1): 157-164

SUN Ze-lin, WANG Zhao, LI Ming. Image test system for gun stabilization accuracy[J]. Editorial Office of Optics and Precision Engineering, 2012,20(1): 157-164
孙泽林, 王昭, 李明. 火炮稳定精度图像测试系统[J]. 光学精密工程, 2012,20(1): 157-164 DOI： 10.3788/OPE.20122001.0157.

SUN Ze-lin, WANG Zhao, LI Ming. Image test system for gun stabilization accuracy[J]. Editorial Office of Optics and Precision Engineering, 2012,20(1): 157-164 DOI： 10.3788/OPE.20122001.0157.

摘要

为了高精度测试火炮稳定精度

建立了基于CCD与标准靶板的图像测试系统。介绍了测试系统的组成结构与工作原理

研究了系统采用的图像预处理、模板匹配、靶标十字中心定位和系统标定等关键算法。为消除分划板十字线对靶板十字识别的干扰

采用了开关中值滤波算法;在选取灰度变换算法提高图像对比度的基础上

分析选取了模板制作与匹配算法;然后

介绍了靶板十字中心的像素级和亚像素级定位;最后

引入基于主动视觉的标定方法确定了系统的像素角分辨率。试验结果表明:提出的系统测试精度优于0.07 mil

满足实际测试需要

实现了带有稳炮功能的现代火炮系统的稳定精度靶场测量。

Abstract

An image test system using a CCD and a standard target was established to measure the stabilization accuracy of a gun control system. The principle and structures of the system were introduced. and its key algorithms such as image pretreatment

template matching

the orientation of target cross center and system calibration were investigated. In order to remove the disturbance of the reticle of graduation board on the target cross

the algorithm of the switching median filter was presented. After choosing the grayscale transformation to improve the image contrast

the algorithms for fabricating and matching the template were analyzed and chosen. Then

the orientation algorithms of pixel and subpixel for target cross center were presented. Finally

the angle resolution of the system pixel was confirmed using a calibration method based on active vision. The result indicates that the test accuracy has been better than 0.07 mil

which meets the practical test requirement and implements the stabilization accuracy measurement of modern fire-control systems with stabilized guns in firing ranges.

关键词

Keywords

references

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