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基于光幕触发CCD交汇连发弹丸坐标处理方法研究
引用本文:何凯,张斌,闫鑫龙,孟凡军,张大舜. 基于光幕触发CCD交汇连发弹丸坐标处理方法研究[J]. 计算机测量与控制, 2022, 30(3): 139-144. DOI: 10.16526/j.cnki.11-4762/tp.2022.03.023
作者姓名:何凯  张斌  闫鑫龙  孟凡军  张大舜
作者单位:中北大学电子测试技术国防重点实验室,太原 030051,中国兵器工业集团第五五研究所,长春 130000
基金项目:山西省应用基础面上青年基金(201901D211251)
摘    要:针对CCD线阵交汇系统中测试弹丸连发坐标时以最大帧频连续拍摄,数据量过大而导致处理时间过长的问题,提出一种基于基于激光光幕触发的多峰值检测和自适应阈值弹丸检测的快速检测连发弹丸坐标方法。采用90°的“一”字线型半导体激光器配合原向反射屏形成光电探测靶面,光电转换模块将弹丸过靶时引起的光通量变化转换成电信号产生过靶信号,处理数据时先使用多峰值检测算法,根据获得的过靶信号波形计算出所有弹丸的过靶时刻和对应图像位置信息,并将该幅图像和临近两幅图像拼接成一幅组合图像作为该发弹丸的过靶图像,再使用基于自适应阈值的弹丸检测算法对其进行弹丸目标检测得到弹丸坐标。当该图像检测出多个像素坐标时,使用像素坐标剔除算法进行处理得到准确坐标。最后进行了4组对照试验,在得到正确连发坐标的前提下分别统计本文方法与传统方法的处理时间。结果表明与处理所有图像的传统方法相比,本文提出的方法在保证连发弹丸坐标正确率的前提下,提高了处理速度。

关 键 词:CCD交汇  多目标检测  多峰值检测算法  像素坐标剔除  激光光幕
收稿时间:2022-01-03
修稿时间:2022-02-09

Research on continuous projectile coordinate processing method of CCD intersection and triggered by laser screen
HE Kai,ZHANG Bin,YAN Xinlong,MENG Fanjun,ZHANG Dashun. Research on continuous projectile coordinate processing method of CCD intersection and triggered by laser screen[J]. Computer Measurement & Control, 2022, 30(3): 139-144. DOI: 10.16526/j.cnki.11-4762/tp.2022.03.023
Authors:HE Kai  ZHANG Bin  YAN Xinlong  MENG Fanjun  ZHANG Dashun
Abstract:In In order to solve the problem that the maximum frame frequency is used to take continuous shots when testing continuous projectile coordinates in CCD linear array intersection system, the processing time is too long due to the large amount of data. A fast coordinate detection method of continuous projectiles based on multi-peak detection and adaptive threshold detection based on laser curtain triggering is proposed.?A semiconductor laser with a divergence Angle of 90 degrees is used to form the photoelectric detection target with the primary reflection screen.Photovoltaic modules will projectile target when flux changes had a target signal into electrical signals, processing data to use multiple peak detection algorithm, according to the target signal waveform to calculate all the projectile location information of target point and the corresponding image, the image and adjacent two images spliced into a combination of the image as the hair of the projectile target image,Then the projectile detection algorithm based on adaptive threshold is used to detect the projectile target and obtain the projectile coordinates.?When multiple pixel coordinates are detected in the image, the pixel coordinate culling algorithm is used to get the accurate coordinates.?Finally, four groups of control experiments were carried out, and the processing time of the proposed method and the traditional method were calculated respectively on the premise of obtaining the correct continuous coordinate.?The results show that compared with the traditional method for processing all images, the method proposed in this paper can improve the processing speed on the premise of ensuring the accuracy of continuous projectile coordinates.
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