基于机器视觉系统 OpenMV，以迈克耳孙干涉仪干涉条纹为研究识别对象，根据光源相干性及干涉条纹动态特性，提出基于灰度采样统计的干涉条纹识别检测算法( 干涉条纹同心形态搜索算法) ，运用 MicroPython 或 Python 语言编制实时检测程序，运行结果表明仿真和真实干涉条纹都得到了可靠的检测，精度为 0.5个条纹，并且测量不确定度主要由算法制定的此条纹检测精度引起，证明了干涉条纹机器视觉检测方法和技术的有效性.基于机器视觉系统 OpenMV，以迈克耳孙干涉仪干涉条纹为研究识别对象，根据光源相干性及干涉条纹动态特性，提出基于灰度采样统计的干涉条纹识别检测算法( 干涉条纹同心形态搜索算法) ，运用 MicroPython 或 Python 语言编制实时检测程序，运行结果表明仿真和真实干涉条纹都得到了可靠的检测，精度为 0.5

个条纹，并且测量不确定度主要由算法制定的此条纹检测精度引起，证明了干涉条纹机器视觉检测方法和技术的有效性.

Based on OpenMV，the system of Robot Vision，taking the interference fringes of Michelson

interfer- ometer as the object of recognition and study，according to the coherence of light source

and the dynamic characteris- tics of interference fringes，the identification and detection

algorithm of interference fringes based on gray sampling statistics is established( CSSA-IF:

Concentric shape searching algorithm for interference fringes) ，the real-time de- tection

program with MicroPython or Python language is written. Its implementation shows that the reliable

detection to the simulation or real interference fringes with the accuracy of 0.5，and the

uncertainty is mainly produced from this accuracy that lay down by the algorithm，meanwhile，the

availability of the methods and the techniques is proved.