Paper
5 May 2017 The ultraviolet detection component based on Te-Cs image intensifier
Yunsheng Qian, Xiaoyu Zhou, Yujing Wu, Yan Wang, Hua Xu
Author Affiliations +
Abstract
Ultraviolet detection technology has been widely focused and adopted in the fields of ultraviolet warning and corona detection for its significant value and practical meaning. The component structure of ultraviolet ICMOS, imaging driving and the photon counting algorithm are studied in this paper. Firstly, the one-inch and wide dynamic range CMOS chip with the coupling optical fiber panel is coupled to the ultraviolet image intensifier. The photocathode material in ultraviolet image intensifier is Te-Cs, which contributes to the solar blind characteristic, and the dual micro-channel plates (MCP) structure ensures the sufficient gain to achieve the single photon counting. Then, in consideration of the ultraviolet detection demand, the drive circuit of the CMOS chip is designed and the corresponding program based on Verilog language is written. According to the characteristics of ultraviolet imaging, the histogram equalization method is applied to enhance the ultraviolet image and the connected components labeling way is utilized for the ultraviolet single photon counting. Moreover, one visible light video channel is reserved in the ultraviolet ICOMS camera, which can be used for the fusion of ultraviolet and visible images. Based upon the module, the ultraviolet optical lens and the deep cut-off solar blind filter are adopted to construct the ultraviolet detector. At last, the detection experiment of the single photon signal is carried out, and the test results are given and analyzed.
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Yunsheng Qian, Xiaoyu Zhou, Yujing Wu, Yan Wang, and Hua Xu "The ultraviolet detection component based on Te-Cs image intensifier", Proc. SPIE 10212, Advanced Photon Counting Techniques XI, 102120S (5 May 2017); https://doi.org/10.1117/12.2262324
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KEYWORDS
Ultraviolet radiation

Image intensifiers

Coronagraphy

Image fusion

Ultraviolet detectors

Optical filters

Image filtering

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