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作 者:王璐子 钱芸生[1] 孙默涵 孔祥宇 WANG Luzi;QIAN Yunsheng;SUN Mohan;KONG Xiangyu(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)
机构地区:[1]南京理工大学电子工程与光电技术学院,南京210094
出 处:《光子学报》2022年第3期146-154,共9页Acta Photonica Sinica
基 金:国防基础科研计划(No.JCKY2018208B016)。
摘 要:分辨率的传统主观评价方法人为不确定因素强且精确度低,而传统客观评价法存在着人为干预力度大和耗时长的缺陷。针对该问题,提出了一种基于拼接条纹单元图像灰度变化特征的微光像增强器荧光屏分辨力客观评价方法。通过拼接单元条纹图像并采用固定空间核沿条纹变化方向扫描图像获得反映条纹变化强度的灰度序列,从而生成单元条纹清晰度,然后将单元条纹的“清晰度-分辨率”对应与线性拟合算法相结合求出像管分辨率。为验证该方法的性能,将其与传统像管分辨力评价方法进行对比。实验证明,该方法在时效性和准确度方面均优于传统客观评价方法,在可重复性方面优于传统主观评价方法。所提出的微光像增强器荧光屏分辨力客观评价方法能够克服传统评价方法的种种弊端,为该参数的标准化测量提供一种有效可行的方案。Resolution is one of the important parameters of image intensifiers,which reflects the target detection performance(including the night working distance and the image definition)of the combined night vision instruments in 0.001 lx to 0.1 lx dark environment.At present,the mainstream measurement method of this index in the industry is subjective evaluation.In addition,several feasible and reasonable objective evaluation technologies have been presented in recent years.Such as,the objective evaluation method of low-light-level image intensifier resolution based on FFT.However,the disadvantages of traditional subjective evaluation methods are strong human uncertainty and low accuracy,while the traditional objective evaluation techniqes face the challenges of improving time effciency and reducing artificial intervention.To solve the problems above,an objective evaluation method of the resolution of image intensifier based on the gray variation features of the stitched stripe unit image is proposed.The main idea of the method is to scan the stitched unit image with the fixed size template,and calculate the unit definition according to the obtained gray change sequence.The general step of the method is to rotate the target image to the appropriate direction,and then extract the resolution image from the target image by using the spatial position relationship between the image block and the central box of the diaphragm.Then,the cropped resolution image is rotated to a correct direction by means of the image information,and the independent unit image is extracted from the resolution image by using the spatial position correspondence relationship of each stripe unit.The adjacent sequential images belonging to the same unit are stitched along the stripe direction in order,and a fixed-size kernel is used to scan the stitched stripe unit image along the stripe change direction to generate the definition of stripe unit.Finally,the resolution of image intensifier is estimated by combining the constructed definition-resolution
关 键 词:光学器件测量 光学系统 条纹分析 图像分割 微光像增强器
分 类 号:TN223[电子电信—物理电子学]
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