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作 者:金川 何渝[2] 唐燕[2] 刘俊伯[2] 孙海峰 胡松[2] Jin Chuan;He Yu;Tang Yan;Liu Junbo;Sun Haifeng;Hu Song(University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Optics and Electronics,Chinese Academy of Science,Chengdu,Sichuan 610209,China)
机构地区:[1]中国科学院大学,北京100049 [2]中国科学院光电技术研究所,四川成都610209
出 处:《光电工程》2022年第9期70-80,共11页Opto-Electronic Engineering
基 金:国家自然科学基金资助项目(61875201,61975211,62005287,61604154);四川省中央政府引导地方科技发展资助项目(2020ZYD020);四川省优秀青年科技人才计划(2020JDJQ0005).
摘 要:现有的空间失配标定方法受原理限制只能实现像素级的标定精度,且易受环境噪声干扰。本文提出了一种亚像素级的同步微离轴数字全息显微系统的空间失配标定方法。该方法在建模时不仅分析了图像分割导致的横向位置误差,还进一步考虑了传感器倾斜引入的纵向位置误差,并将标定过程归纳为求解非线性多变量优化问题。在本文中,粒子群优化算法因其结构简单、收敛效率高、全局搜索能力强等优势,被用于解决这一优化问题。在标定过程中,建立了基于相位畸变的纯相位波面,并将纯相位波前的均方根误差作为目标函数,以去除噪声对标定精度的影响。仿真结果证明本文方法具有亚像素级精度,实验证明了其在实际系统中的有效性。The existing spatial mismatch calibration methods can only achieve pixel-level calibration accuracy due to the limitation of principle,and are easily disturbed by the environmental noise.In this paper,a spatial mismatch calibration method for a sub-pixel-level simultaneous slightly off-axis digital holographic microscope system is proposed.In the modeling,the method not only analyzes the lateral position error caused by the image segmentation,but also further considers the longitudinal position error caused by the sensor tilt,and summarizes the calibration process as a nonlinear multi-variable optimization problem.In this paper,the particle swarm optimization algorithm is used to solve this optimization problem because of its simple structure,high convergence efficiency,and strong global search ability.In the calibration process,a phase-only wavefront based on the phase aberration is established,and the root mean square error of the phase-only wavefront is used as the target function to remove the influence of noise on the calibration accuracy.Simulation results show that the proposed method has sub-pixel accuracy,and experiment demonstrates the effectiveness of the method in the practical systems.
分 类 号:TH742[机械工程—光学工程] O438.1[机械工程—仪器科学与技术]
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