Objective Evaluation for Low-Light-Level Image Intensifier Based on Dual-Model

SHI Ji-fang; YANG Bin; HAN Zhan-suo; XIE Qi; SUN Yu-nan

doi:10.3788/OPE.20132109.2260

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Objective Evaluation for Low-Light-Level Image Intensifier Based on Dual-Model

更新时间：2020-08-12

- Objective Evaluation for Low-Light-Level Image Intensifier Based on Dual-Model
- Optics and Precision Engineering Vol. 21, Issue 9, Pages: 2260-2265(2013)
- 作者机构：
  
  西安应用光学研究所，陕西西安 710065
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20132109.2260
  CLC： TN144;TN223
- Received：24 December 2012，
  
  Revised：13 May 2013，
  
  Published Online：30 September 2013，
  
  Published：15 September 2013
- 稿件说明：
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史继芳杨斌韩占锁解琪孙宇楠. 基于双重模型的微光像增强器分辨力[J]. 光学精密工程, 2013,21(9): 2260-2265

SHI Ji-fang YANG Bin HAN Zhan-suo XIE Qi SUN Yu-nan. Objective Evaluation for Low-Light-Level Image Intensifier Based on Dual-Model[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2260-2265
史继芳杨斌韩占锁解琪孙宇楠. 基于双重模型的微光像增强器分辨力[J]. 光学精密工程, 2013,21(9): 2260-2265 DOI： 10.3788/OPE.20132109.2260.

SHI Ji-fang YANG Bin HAN Zhan-suo XIE Qi SUN Yu-nan. Objective Evaluation for Low-Light-Level Image Intensifier Based on Dual-Model[J]. Editorial Office of Optics and Precision Engineering, 2013,21(9): 2260-2265 DOI： 10.3788/OPE.20132109.2260.

摘要

以光学调制度模型和归一化互相关模型为基础，以模板匹配和光学调制度双重判据为核心算法，研究了微光像增强器分辨力的客观评价方法，构建了微光像增强器分辨力客观评价系统。光学调制度模型和归一化互相关模型既互相独立又相辅相成。首先，利用归一化互相关模型中的模板匹配系数进行定位和初步评价；然后，用光学调制度模型进行定量分析。这种先定性后定量的图像处理模式提高了微光像增强器分辨力测量的准确性和重复性，实现了对微光像增强器分辨力客观、准确的评价，避免了目视观察法受人的主观因素影响的弊端。实验结果表明，由CCD采集得到的微光像增强器分辨力与人眼观测结果具有较好的一致性，提高了本评价方法的客观性和准确性，该方法也可推广至CCD、ICCD、EMCCD等可见光探测成像系统分辨力的客观评价。

Abstract

On the basis of an optical modulation model and a normalized correlation model

an objective evaluation method for the resolution of a low-light-level image intensifier was explored by using the dual criterion of template matching and optical modulation as core algorithms. A set of resolution objective evaluation system for the low-light-level image intensifier was constructed. In the method

the optical modulation model and the normalized correlation model are independent of each other and also cannot be separated from each other. Firstly

the template matching coefficients in the normalized correlation model were used to performed the location and preliminary evaluation

then the optical modulation model was taken to do a quantitative analysis. The image processing scheme in first qualitative analysis then the quantitative analysis improves the accuracy and repeatability of resolution test for the low-light-level image intensifier

implements the objective and accurate evaluation for low-light-level image intensifier and avoids the shortcomings of visual observation method which is influenced by human's subjective factors. The experiments demonstrate that the resolution of the image captured by CCD has good consistency with that of visual observation result by human eyes. The method is also suitable for the evaluation of resolutions of other visible light imaging systems.

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references

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