基于树莓派图像算法处理迈克尔孙干涉现象

Processing of Michelson Interference Based on Raspberry Pi Image Algorithm

迈克尔孙干涉仪结构简单,精度高,易操作,但是条纹信息的观察与记录都是通过人眼完成的,会因为一些主观因素导致观察与记录的不准确,效率低等问题,进而影响实验的结果。为了解决这一系列问题,由树莓派设计系统来统计条纹信息,对传统实验技术方式进行改进,对现有干涉仪器进行优化,极大地提高了测量的精度与效率,增加了实验的可操作性与可观察性。经过验证,由树莓派设计的条纹计数系统计数准确、性能稳定、效率高,可减轻劳动强度、提高测量精度以及提高产品检测精度,可以满足实际应用需求。

The Michelson interferometer is simple in structure,high in precision and easy to operate.However,observation and recording of fringe information are all completed by human eyes,which will lead to inaccurate observation and recording and low efficiency due to some subjective factors,thus affecting the experimental results.In order to solve this a series of problems,the Raspberry Pi system designed was designed to count stripe information,improve the traditional Technology and optimize the existing interference device,greatly improve the measurement accuracy and efficiency,and increasing the operability and observation of experiment.It has been proved that the stripe counting system designed by Raspberry Pi is accurate in counting,stable in performance and high in efficiency,which can reduce labor intensity,improve measurement accuracy and product detection accuracy,and can meet the practical application requirements.