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基于倾斜相位的抗振动干涉面形测量
引用本文:卢文倩,李建欣,段明亮,许逸轩,宗毅. 基于倾斜相位的抗振动干涉面形测量[J]. 光学学报, 2021, 41(2): 100-106
作者姓名:卢文倩  李建欣  段明亮  许逸轩  宗毅
作者单位:南京理工大学电子工程与光电技术学院,江苏南京210094;南京理工大学电子工程与光电技术学院,江苏南京210094;南京理工大学电子工程与光电技术学院,江苏南京210094;南京理工大学电子工程与光电技术学院,江苏南京210094;南京理工大学电子工程与光电技术学院,江苏南京210094
基金项目:国家自然科学基金(61975079);装备预研重点实验室基金(6142604200511)。
摘    要:环境振动会在干涉测量过程中产生随机倾斜、移相误差,导致测量精度下降.为了降低环境振动对移相干涉测量的影响,提出了一种基于倾斜相位的抗振动干涉面形测量方法.首先,利用Fourier变换将干涉图变换到频域;然后,利用频域细分操作对峰值坐标进行亚像素精度定位,求解出振动倾斜平面;最后,利用最小二乘法计算出待测面的相位分布.实...

关 键 词:测量与计量  倾斜移相  频域细分  最小二乘法

Anti-Vibration Interferometric Shape Measurement Based on Tilt Phase
Lu Wenqian,Li Jianxin,Duan Mingliang,Xu Yixuan,Zong Yi. Anti-Vibration Interferometric Shape Measurement Based on Tilt Phase[J]. Acta Optica Sinica, 2021, 41(2): 100-106
Authors:Lu Wenqian  Li Jianxin  Duan Mingliang  Xu Yixuan  Zong Yi
Affiliation:(School of Electronic and Optical Engineering,Nanjing University of Science and Technology,Nanjing,Jiangsu 210094,China)
Abstract:Environmental vibrations introduce random tilt and phase-shifting errors in interferometric measurement,which reduce the accuracy of the final measurements.To reduce the influence of these vibrations,this article proposes anti-vibration interferometric shape measurement based on tilt phase.First,the interferograms are Fourier-transformed into the frequency domain.Next,the peak coordinates are located at subpixel precision by a frequency-domain subdivision operation and the vibration tilt plane is extracted.Finally,the phase distribution is extracted by a least-squares algorithm.Experimental results show that the phase distributions retrieved by the method are highly consistent with those obtained by the simultaneous phase-shifting interferometry,with very small deviations of the peak-to-valley and root mean square values.Moreover,the method does not need to modify the hardware,and can provide a low-cost,high-precision solution for phase-shifting interferometry under vibration environment.
Keywords:measurement and metrology  tilt phase-shifting  frequency subdivision  least-squares method
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