摘要
介绍了一种利用计算机采集并处理迈克尔逊干涉条纹的方法。该方法通过W indows系统下的数字视频工具包,对干涉图像进行视频捕获;针对随机噪声和环境光对图像传感器的影响,提出了采用均值滤波以及基于斯密特触发器计数原理的处理方法,有效地提高了系统的抗干扰能力,克服了用电路方法时功能单一、升级不便的缺点。测试结果表明,在仪器操作速度平稳条件下,用普通的摄像头也能取得较精确的实验结果。
A method was introduced to sample and process the Michelson interference image with the aid of computer. The interfered image is captured by using digital video toolkit in Windows. Aiming at reducing the interference caused by random noise and environmental light, this article proposed to settle the problem by using mean filtering and counting based on the working principle of Schmitt＇ s trigger so as to enhance the system to resist jamming and overcome such flaws as monotonous function and upgrading inconvenience in the circuit. The test proves that under stable operating speed, the experimental result can also be accurately achieved even with a common camera.
出处
《实验室研究与探索》
CAS
北大核心
2009年第11期47-49,105,共4页
Research and Exploration In Laboratory
关键词
干涉条纹
迈克尔逊
视频捕捉
计数
interference fringe
Michelson
video capturing
counting
