基于Ｍａｔｌａｂ的迈克尔逊微小位移测量

doi:10.14139/j.cnki.cn22-1228.2022.05.021

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摘要

传统迈克尔逊干涉条纹人工计数，测量方法稳定性差，人为误差较大。现提出一种基于ＣＣＤ进行干涉条纹采集，利用Ｍａｔｌａｂ中ＷａｖｅｄＲｕｌｅｒ（波尺）对干涉条纹进行图像处理。根据干涉条纹明暗周期性变化，通过对干涉条纹去背景噪声、二值化阈值滤波、去小噪声、条纹优选等步骤，对干涉条纹处理并计数，从而测得物体微小位移。实验结果表明，该方法优化了迈克尔逊干涉法测物体微小位移，测量最小误差达到０．４％，减小测量过程中的误差，提高测量稳定性。

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	罗天娇
	吴幸锴
	孙微微
	侯丽华

关键词: 迈克尔逊干涉微小位移干涉条纹图像处理

Abstract:

The traditional Michelson interference fringe manual counting method has poor stability and largeartificial error.A CCD based interference fringe collection method is proposed, and the image processing ointerference stripe is performed in Wave Ruler of Matlab.According to the periodic change of the brightnessand shade of the interference fringe, the interference fringe is processed and counted through the steps ofremoving background noise ,binarization threshold filtering,removing small noise and fringe optimization ,so asto measure the tiny displacement of the object.Experimental results show that this method optimizes Michelsoninterference method to measure object micro-displacement,and the minimum measurement error reaches 0.4%which reduces the error in the measurement process and improves the measurement stability.

Key words: Michelson interference micro-displacement interference fringe image processing

出版日期: 2022-10-25 发布日期: 2022-10-25 整期出版日期: 2022-10-25

ZTFLH:

Ｏ４３６．１

引用本文:

罗天娇 , 吴幸锴 , 孙微微 , 侯丽华 . 基于Ｍａｔｌａｂ的迈克尔逊微小位移测量 [J]. 大学物理实验, 2022, 35(5): 96-99.
LUO Tianjiao', WU Xingkai’, SUN Weiwei', HOU Lihua'. Michelson Micro-displacement Measurement Based on Matlab . Physical Experiment of College, 2022, 35(5): 96-99.

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http://dawushiyan.jlict.edu.cn/CN/10.14139/j.cnki.cn22-1228.2022.05.021 或 http://dawushiyan.jlict.edu.cn/CN/Y2022/V35/I5/96

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