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基于双重模型客观评价微光像增强器的分辨力 被引量:6

Objective evaluation of resolution for low-light-level image intensifier based on dual-model
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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。 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 ob- jective 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 cor- relation model were used to performed the location and preliminary evaluation , then the optical modu- lation 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 hu- maffs 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 alsosuitable for the evaluation of resolutions of other visible light imaging systems.
出处 《光学精密工程》 EI CAS CSCD 北大核心 2013年第9期2260-2265,共6页 Optics and Precision Engineering
基金 微光夜视技术国防科技重点实验室基金资助项目(No.J20110509)
关键词 微光像增强器 图像处理 分辨力 客观评价 模板匹配 调制度 low-light-level image intensifier image processing resolution objective evaluation tem-plate match modulation
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