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。

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.