[1]顾 燕,吕 扬,杨 锋,等.紫外成像仪的紫外可见光图像叠加精确度测试系统[J].红外技术,2019,41(8):695-698.[doi:10.11846/j.issn.1001_8891.201908001]
 GU Yan,LYU Yang,YANG Feng,et al.Testing System for UV Imager Superposition Accuracy[J].Infrared Technology,2019,41(8):695-698.[doi:10.11846/j.issn.1001_8891.201908001]
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紫外成像仪的紫外可见光图像叠加精确度测试系统
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《红外技术》[ISSN:1001-8891/CN:CN 53-1053/TN]

卷:
41卷
期数:
2019年第8期
页码:
695-698
栏目:
出版日期:
2019-08-21

文章信息/Info

Title:
Testing System for UV Imager Superposition Accuracy
文章编号:
1001-8891(2019)08-0695-04
作者:
顾 燕2吕 扬2杨 锋2郭一亮2赵维骏2朱 波2焦国力2 孙建宁12李 臻3褚祝军3常 乐3
1. 微光夜视技术重点实验室,陕西 西安 710065;2. 北方夜视技术股份有限公司,江苏 南京 211106;
3. 北方夜视技术股份有限公司,云南 昆明 650223
Author(s):
GU Yan2LYU Yang2YANG Feng2GUO Yiliang2ZHAO Weijun2ZHU Bo2JIAO Guoli2SUN Jianning12LI Zhen3CHU Zhujun3CHANG Le3
1. The Key Laboratory on Night Vision Technology, Xi’an 710065, China;
2. North Night Vision Technology CO. LTD, Nanjing 211106, China;
3. North Night Vision Technology CO. LTD, Kunming 650223, China
关键词:
紫外成像仪叠加精确度测试系统
Keywords:
UV imager superposition accuracy test system
分类号:
TN233
DOI:
10.11846/j.issn.1001_8891.201908001
文献标志码:
A
摘要:
紫外可见光图像叠加精确度是评价紫外成像仪定位可见光背景下的紫外信号的关键指标,体现了紫外成像仪的紫外光图像与可见光图像融合的精确程度。为评估紫外可见光图像叠加精确度这一关键指标,本文设计并实现了紫外成像仪的紫外可见光图像叠加精确度测试系统。系统选择高均匀性、高亮度、宽辐照度范围的紫外积分球光源照射十字靶标,在紫外平行光管的作用下,使紫外成像仪能够观测到一个无穷远的像,通过测量紫外光图像与可见光图像的十字像中心点坐标的偏移量,实现了对紫外成像仪的紫外可见光图像叠加精确度的测试。实验结果表明,该测试系统可为紫外成像仪提供可靠的检测依据,满足紫外成像仪筛选的应用需求。
Abstract:
The superposition accuracy of ultraviolet (UV)/visible images is a key index for evaluating the UV imager. The evaluation is performed by locating the UV signal under a visible light background, which reflects the fusion accuracy of the UV/visible image of the imager under consideration. To evaluate this key index, i.e., the superposition accuracy, this paper proposes the design and implementation of a testing system for estimating the superposition accuracy of the UV imager. The system selects the UV integrating sphere light source with high uniformity, high brightness and wide irradiance range to illuminate the cross target. Under the action of the UV collimator, the imager allows for the observation of an infinity image. By measuring the offset between the cross-center point coordinates of the UV/visible image, the superposition accuracy of imager can be estimated. The experimental results show that the testing system can provide a reliable detection basis for the UV imager and also meet the assessment requirements of the UV imager.

参考文献/References:

[1] 李兵, 邓慰, 鄢哲, 等. 基于紫外成像的电晕放电环境影响因素的研究[J]. 高压电器, 2015, 51(1): 24-25.
LI Bing, DENG Wei, YAN Zhe, et al. Study on the environmental influencing factors of corona discharge based on UV imaging[J]. High Voltage Apparatus, 2015, 51(1): 24-25.
[2] 张玉波, 黎大健, 赵坚. 电晕紫外成像检测技术及其研究[J]. 量子电子学报, 31(5): 622-624.
ZHANG Yubo, LI Dajian, ZHAO Jian. Corona UV imaging detection technology and its application[J]. Chinese Journal of Quantum Electronics, 31(5): 622-624.
[3] 刘建卓, 王学进, 黄剑波, 等. 三波段电晕检测光学系统的设计[J]. 光学精密工程, 2011, 19(6): 1228-1231.
LIU Jianzhuo, WANG Xuejin, HUANG Jianbo, et al. Design of three-band optical system used in corona detection[J]. Optics and Precision Engineering, 2011, 19(6): 1228-1231.
[4] 王少华, 梅冰笑, 叶自强, 等. 紫外成像检测技术及其在电气设备电晕放电检测中的应用[J]. 高压电器, 2011, 47(11): 92-93.
WANG Shaohua, MEI Bingxiao, YE Ziqiang, et al. Ultraviolet imaging detection technology and application in corona discharge detection of electrical equipment[J]. High Voltage Apparatus, 2011, 47(11): 92-93.
[5] 周跃, 闫丰, 章明朝, 等. 超大动态范围日盲紫外辐照度光源[J]. 光谱学与光谱分析, 2012, 32(6): 1451-1455.
ZHOU Yue, YAN Feng, ZHANG Mingchao, et al. A solar blind light source with long dynamic range[J]. Spectroscopy and Spectral Analysis, 2012, 32(6): 1451-1455.
[6] 叶会生, 刘敏, 雷红才, 等. 紫外成像仪在电力设备缺陷检测的应用研究[J]. 华中电力, 2009, 22(5): 32-33.
YE Huisheng, LIU Min, LEI hongcai, et al. Study on application of UV imaging detector in power equipment flaws detection[J]. Central China Electric Power, 2009, 22(5): 32-33.
[7] 王胜辉, 冯宏恩, 律方成. 电晕放电紫外成像检测光子数的距离修正[J]. 高电压技术, 2015, 41(1): 194-195.
WANG Shenghui, FENG Hongen, LYU Fangcheng. Distance correction of corona discharge photon count in ultraviolet imaging detection[J]. High Voltage Engineering, 2015, 41(1): 194-195.
[8] 胡少华, 覃俊源, 杨占君, 等. 紫外成像仪检测技术简介及其在电网中的应用[J]. 甘肃科技, 2014, 30(16): 53-55.
HU Shaohua, TAN Junyuan, YANG Zhanjun, et al. Introduction to UV imager detection technology and its application in power grid[J]. Gansu Science and Technology, 2014, 30(16): 53-55.

备注/Memo

备注/Memo:
收稿日期:2018-09-13;修订日期:2018-11-07.
作者简介:顾燕(1983-),女,工程师,硕士,主要从事日盲紫外器件的成像探测和性能测试研究。E-mail:jsguyan@163.com。
更新日期/Last Update: 2019-08-19