一种基于虚拟仪器技术的视频分析仪校准装置

doi:10.3969/j.issn.1000-1158.2024.10.18

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Abstract In response to the issues of the main standard devices being discontinued and the cumbersome calibration process in the calibration of video analyzers, based on virtual instrument technology and in the LabVIEW development environment, a video analyzer calibration device was developed using the M4i.6622-x8 arbitrary waveform generation card as the signal generation module.The basic parameters and distortion parameters of the video analyzer were calibrated.The calibration signal generation process for Lum level, Chrom level, Chrom phase video basic parameters and Tilt, 2T Pulse k-factor, C/L Gain and Delay, Lum NL video distortion parameters were provided.By experiment, the technical indicators can achieve: Lum level is ±0.2%, Chrom level is ±0.2%, Chrom phase is ±0.1°, Tilt is ±0.1%, 2T Pulse k-factor is±0.1%, C/L Gain is ±0.2%, C/L Delay is ±3ns, Lum NL is ±0.2%.The technical indicators are better than the TG2000 programmable video signal generator, meeting the calibration requirements of video analyzers.

Key words： video parameter measurement virtual instrument video analyzer calibration device arbitrary waveform generation card

Received: 21 September 2023 Published: 30 September 2024

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TB973

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	Articles by authors
	LIU Lei
	XU Shuwen
	HAN Zhengtao
	CHEN Peng
	HAN Dong

Cite this article:

LIU Lei,XU Shuwen,HAN Zhengtao, et al. A Calibration Device for Video Analyzer Based on Virtual Instrument Technology[J]. Acta Metrologica Sinica, 2024, 45(10): 1562-1569.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2024.10.18 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2024/V45/I10/1562

［1］	宋人杰, 张元东. 基于感兴趣区域的高性能视频编码帧内预测优化算法［J］. 电子与信息学报, 2020, 42(11): 2781-2787.
［5］	马家麟, 孙海洲, 任贵珊, 等. 高集成度多种格式并行输出的视频测试信号源研制［J］. 电子测量与仪器学报, 2022, 36(3): 217-223.
［8］	电视视频信号分析仪校准规范: JJF 1455-2014 ［S］.
	CHEN H, YANG Z J, WU Z C, et al. Research on Analog Component Video Test Signal with Distortion ［J］. Metrology Science and Technology, 2021(2): 16-21.
［11］	杨智君, 吴昭春, 马晓庆, 等. 视频失真校准方法的研究［J］. 计量学报, 2012, 33(2): 158-162.
［13］	王永泉, 杨朝旭, 周淳, 等. 应用LabVIEW软件开发的气体绝缘金属封闭开关设备声振联合检测系统［J］. 西安交通大学学报, 2021, 55(6): 131-140.
［2］	HTET K K K, KIONG T K. Smart Instrumentation in Video Streams Using Real-time Bit-rate Adaptation ［J］. Instrumentation, 2020, 7(1): 1-12.
	WANG R, SHI T Y, BAO Y. Research on an intelligent comprehensive recognition technology in railway perimeter intrusion detection based on videos ［J］. Chinese Journal of Scientific Instrument, 2020, 41(9): 188-195.
［4］	姚军财, 汤浩威, 申静. 基于内容视觉感知和传输失真的无参考视频质量客观评价［J］. 光学精密工程, 2022, 30(22): 2923-2928.
	MA J L, SUN H Z, REN G S, et al. Implementation of the high-integration video signal-source with the multi-format and parallel-output function ［J］. Journal of Electronic Measurement and Instrumentation, 2022, 36(3): 217-223.
［10］	刘雷, 韩东. VM700T视频测量仪的校准方法的改进［J］. 电视技术, 2012, 36(16): 94-97.
［14］	刘昱, 贺升平, 贺西平, 等. 对陶瓷器件超声识别的算法设计及虚拟仪器实现［J］. 振动与冲击, 2022, 41(17): 254-261.
［16］	吴福宝, 胡志雄, 段亮成, 等. Q开关Nd: YAG激光治疗机关键参数计量检测装置研制［J］. 计量学报, 2023, 44(2): 311-316.
［3］	王瑞, 史天运, 包云. 一种基于视频的铁路周界入侵检测智能综合识别技术研究［J］. 仪器仪表学报, 2020, 41(9): 188-195.
	CHEN H, YANG Z J, WU Z C, et al. Standard generator and its calibration method for analogcomponent video signal with distortion ［J］. Journal of Jilin University (Engineering and Technology Edition), 2017, 47(4): 1159-1164.
［9］	陈赫, 杨智君, 吴昭春, 等. 失真模拟分量视频测试信号研究［J］. 计量科学与技术. 2021(2): 16-21.
	LIU Y, HE S P, HE X P, et al. Algorithm design and virtual instrument implementation forultrasonic recognition of ceramic devices ［J］. Journal of Vibration and Shock, 2022, 41(17): 254-261.
［17］	马尧睿, 蔡创, 刘致杰, 等. 基于LabVIEW的激光-MIG 复合焊接过程等离子体监测［J］. 中国激光, 2022, 49(2): 0202014.
	ZENG L, YANG Y C, YUE J, et al. Research on Automated Dissemination of Primary Standard for Pneumatic Piston Gauges ［J］. Acta Metrologica Sinica, 2021, 42(10): 1317-1322.
	YE W L, TU Z H, XIAO X P, et al. On Multi-Parameter Influence of TDLAS Detection System Based on LabVIEW ［J］. Journal of South China University of Technology(Natural Science Edition), 2021, 49(6): 141-148.
	SONG R J, ZHANG Y D. High Efficiency video coding intra prediction optimization algorithm based on region of interest ［J］. Journal of Electronics and Information Technology, 2020, 42(11): 2781-2787.
［7］	TEKTRONIX. Multiformat Generator TG2000 Data Sheet ［EB］. 2009.
	WANG Y Q, YANG Z X, ZHOU C, et al. A GIS Acoustic and Vibration Joint Detection System Developde via LabVIEW Software ［J］. Journal of Xian Jiaotong University, 2021, 55(6): 131-140.
［19］	叶玮琳, 涂子涵, 肖旭鹏, 等. 基于LabVIEW的TDLAS检测系统多参数影响研究［J］. 华南理工大学学报(自然科学版), 2021, 49(6): 141-148.
［6］	陈赫, 杨智君, 吴昭春, 等. 标准失真模拟分量视频信号源及其校准方法［J］. 吉林大学学报(工学版), 2017, 47(4): 1159-1164.
［12］	一种多功能视频参数校准装置:CN112702596B ［P］. 2022. 10. 28.
［18］	曾麟, 杨远超, 悦进, 等. 气体活塞式压力计基准量值传递自动化研究［J］. 计量学报, 2021, 42(10): 1317-1322.
	YAO J C, TANG H W, SHEN J. No-reference video quality objective assessment method based on the content visual perception and transmission distortion ［J］. Optics and Precision Engineering, 2022, 30(22): 2923-2928.
	LIU L, HAN D. An Improved Calibration Method of VM700T Video Measurement set ［J］. Video Engineering, 2012, 36(16): 94-97.
	WU F B, HU Z X, DUAN L C, et al. Development of Key Parameter Metrology and Detection Equipment for Q-switched Nd: YAG laser Therapy Apparatus ［J］. Acta Metrologica Sinica, 2022, 44(2): 311-316.
	YANG Z J, WU Z C, MA X Q, et al. The Development of the Video Distortion Calibration ［J］. Acta Metrologica Sinica, 2012, 33(2): 158-162.
［15］	Spectrum. M4i. 66xx-x8-16 bit 1. 25 GS/s Arbitrary Waveform Generator Data Sheet ［EB］. 2018.
	MA Y R, CAI C, LIU Z J, et al. Plasma Monitoring During Laser-MIG Hybrid Welding Process Based on LabVIEW ［J］. Chinese Journal of Lasers, 2022, 49(2): 0202014.