Dynamic Glare Measurement Method Based on Threshold Increment
WANG Jia-ming1,QIAO Wei-dong1,ZHANG Heng1,LI Yi2
1. School of Mechanical & Precision Instrument Engineering, Xian University of Technology, Xi’an,Shaanxi 710048, China
2. Optical Metrology and Test Center, Shaanxi Institute of
Metrology Science, Xi’an, Shaanxi 710065, China
Abstract By analyzing the evaluation criteria of threshold increment, it is concluded that the basic components affecting the change are brightness information and position information. A dynamic glare measurement method based on threshold increment is proposed, and an experimental measurement system is established. The system uses image collector to obtain environmental image information, obtains image brightness information and three-dimensional coordinate information through image brightness calibration method and binocular camera visual characteristics, and realizes the calculation of single frame image threshold increment. Finally, the detection frequency of the system is estimated according to the system operation time, and the estimated frequency is verified in practice. The experimental results show that the detection frequency of the dynamic glare measurement system can reach 7.67Hz. Compared with the traditional detection methods, this method has the characteristics of high efficiency, dynamic and intelligent, and can meet the actual needs of threshold increment measurement in dynamic scenes.
WANG Jia-ming,QIAO Wei-dong,ZHANG Heng, et al. Dynamic Glare Measurement Method Based on Threshold Increment[J]. Acta Metrologica Sinica, 2022, 43(4): 475-481.
［1］ Stone P T. A model for the explanation of discomfort and pain in the eye caused by light ［J］. Lighting Res Technol , 2009, 41(2): 109-121.
［2］ Adrian W. A simple method for the appraisal of glare in street lighting ［J］. Lighting Res Technol , 1970, 2(2);61-73.
［3］ Sawicki D, Wolska A. Discomfort glare prediction by different methods ［J］. Lighting Res Technol , 2015, 47(6): 658-671.
［4］ Khanie M S, Stoll J, Einhuser W E W, et al. Gaze and discomfort glare, Part1: Dvelopment of a gaze-driven photometry ［J］. Lighting Res Technol , 2016, 49(7): 845-865.
［5］ Kim W, Han H, Kim J T. The position index of a glare source at the borderline between comfort and discomfort(BCD)in the whole visual field ［J］. Building and Environment , 2008, 44(5): 1017-1023.
［6］ Bullough J D. Predicting discomfort glare from outdoor lighting installations ［J］. Lighting Res Technol , 2008, 40(3): 225-242.
［7］ Johannes J V. Reflections on glare ［J］. Lighting Research and Technology , 2003, 35(2): 163-175.
［8］ 乔卫东,张恒,王嘉明, 等. 基于阈值增量的标准动态眩光源设计方法［J］. 计量学报, 2022, 43(3):338-345.
Qiao W D, Zhang H, Wang J M, et al. Standard Dynamic Glare Iight Source Design Method Based on Threshold Increment ［J］. Acta Metrologica Sinica , 2022, 43(3):338-345.
［9］ 陈仲林, 翁季, 胡英奎, 等. 道路照明测量方法研究 ［J］. 灯与照明, 2005, 30(2): 7-12.
Chen Z L, Weng J, Hu Y K, et al. Research on road lighting measurement methods ［J］. Lamps and Lighting , 2005, 30(2): 7-12.
［10］ 钱伟. 车载式道路照明检测系统 ［J］. 灯与照明, 2010, 34(3): 8-11.
Qian W. Vehicle-mounted road lighting detection system ［J］. Lamps and Lighting , 2010, 34(3): 8-11.
［11］ 沈天行, 王立熊, 韩新全. 利用SM光环境测试系统进行隧道光环境的测试与研究 ［J］, 灯与照明, 2010, 34(4): 5-8.
Shen T X, Wang L X, Han X Q. Using SM light environment test system to test and research tunnel light environment ［J］, Lamps and Lighting, 2010, 34(4): 5-8.
［12］ Lin Y D, Liu Y H, Sun Y J, et al. Model predicting discomfort glare caused by LED road lights ［J］. Optics Express , 2014, 22(15): 18056-71.
［13］ Huang K, Weng J. A Video Image Analysis System for Tunnel Lighting Automatic Control ［J］. International Journal of Applied Mathematics and Statistics , 2013, 51(23): 246-253.
［14］ Akashi Y, Muramatsu R, Kanaya S. Unified glare rating (UGR) and subjective appraisal of discomfort glare ［J］. Lighting Research and Technology , 1996, 28(4): 199-206.
［15］ Yang Y, Luo R M, Huang W J. Assessing glare, Part 3: Glare sources having different colors ［J］. Lighting Research & Technology , 2016, 50(4): 1-20.
［16］ Yang Y, Luo R M, Ma S N. Assessing glare, Part 2: Modifying Unified Glare Rating for uniform and non-uniform LED luminaires ［J］. Lighting Research & Technology , 2016, 49(6): 1-16.
［17］ Brajovic V, Kanade T. A sorting image sensor: an example of massively parallel intensity to time processing for low latency computational sensors ［C］. Proceedings of the 1996 IEEE International Conference on Robotics and Automation , 1996, 2(3): 1638 -1643.
［18］ Feng A Y, Li L, Zhou L, et al. Verification and optimization of the uncomfortable glare model of white LED ［J］. Acta Optics , 2017, 37 (7): 376-382.
［19］ Kavadias S, Dierickx B, Scherer D. A logarithmic response CMOS image sensor with on chip calibration ［J］. IEEE Journal of Solid State Circuits , 2000, 35( 8):173-179.
［20］ 陈仲林, 翁季, 胡英奎, 等. 用数码相机测量亮度分布 ［J］. 照明工程学报, 2005, 16(3): 11-14.
Chen Z L, Weng J, Hu Y K, et al. Measuring brightness distribution with digital camera ［J］. Journal of Illuminating Engineering Journal , 2005, 16(3): 11-14.
［21］ 俞文杰, 郭子杨, 廖启栗, 等. 数码相机的亮度分布测试研究 ［J］. 中国计量学院学报, 2014, 25(3): 273-278.
Yu W J, Guo Z Y, Liao Q L, et al. Research on the brightness distribution test of digital cameras ［J］. Journal of China Jiliang University , 2014, 25(3): 273-278.
［22］ 李抵非, 陈赫, 冯志刚, 等. 一种双目立体视觉系统的校准方法 ［J］. 计量学报, 2018, 39(4):485-489.
Li D F, Chen H, Feng Z G, et al. A calibration method of binocular stereo vision system ［J］. Acta Metrologica Sinica , 2018, 39(04): 485-489.
［23］ 周富强, 邾继贵, 杨学友, 等. CCD摄像机快速标定技术 ［J］. 光学精密工程, 2000, 8(1): 96-100.
Zhou F Q, Lu J G, Yang X Y, et al. Fast calibration technology of CCD camera ［J］. Optics and Precision Engineering , 2000, 8(1): 96-100.
［24］ Li L. Research on camera calibration using new optimization strategy ［J］. Opto-Electronics Review , 2011, 19(4): 118-129.
［25］ 赵敏, 刘丹, 李奕, 等. 基于计算机视觉的防护眼镜视野测量方法 ［J］. 计量学报, 2019(5): 786-792.
Zhao M, Liu D, Li Y, et al. Computer vision-based visual field measurement method for protective glasses ［J］. Acta Metrologica Sinica , 2019(5): 786-792.
2022, Vol. 43 
