Research on Photon Counting Algorithm Based on Solar Blind Ultraviolet Imaging Detector
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摘要: 为了完成对日盲紫外电晕信号的定量分析，本文设计了基于时间域的弥散圆斑光子计数算法来对成像系统所采集的图像进行量化分析。首先阐述了单光子探测的原理以及光子计数原理；然后设计了基于日盲紫外ICMOS的成像探测系统，为了满足荧光屏的余晖响应，优化了CMOS驱动，使得帧频可达390 fps；然后通过分析传统的连通域光子计数算法，提出了基于时间域的弥散圆斑光子计数算法；通过仿真实验，可知该算法较传统的技术算法具有更高的准确性；最后通过对紫外灯源的实验，验证了所设计的光子计数算法可以在成像探测系统中硬件实现，并且计数的效果良好。Abstract: To complete the quantitative analysis of the solar-blind ultraviolet corona signal, a time-domain diffuse round-spot photon-counting algorithm is designed to analyze the image collected by the imaging system. First, the principles of single-photon detection and photon counting are described; second, an imaging detection system based on solar-blind ultraviolet ICMOS is designed. To meet the afterglow response of the screen, the CMOS driver is optimized to make the frame rate up to 390 fps. Then, by analyzing the traditional connected domain photon counting algorithm, a diffuse round spot photon counting algorithm based on the time domain is proposed, and experiments show that the algorithm designed in this study has higher accuracy than the traditional technical algorithm. Finally, through an experiment with an ultraviolet lamp source, it is verified that the designed photon counting algorithm can be implemented in the hardware of the imaging detection system, and the counting effect is good.
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Key words:
- solar blind UV /
- photon counting /
- time domain
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图 2 日盲紫外成像系统整体设计框图
Figure 2. Block diagram of overall design of solar blind ultraviolet imaging system
表 1 两种算法光子计数统计表
Table 1. Photon counting statistic table of two algorithm
Connected domain labeling algorithm Dispersion circular algorithm Group 1 7 6 Group 2 78 78 Group 3 88 291 
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表 2 四组光子计数实验结果
Table 2. Results of four groups of photon counting experiments
Group1 Group 2 Group 3 FPGA output result 0 24 141 Matlab simulation result 0 23 149
下载: 导出CSV
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