Wang W C, Hwang C H, Lin S Y
Appl Opt. 1996 Aug 1;35(22):4502-9. doi: 10.1364/AO.35.004502.
Three different image-processing methods based on the time-averaged technique were compared by the electronic speckle pattern interferometry (ESPI) technique for vibration measurement. The three methods are the video-signal-addition method, the video-signal-subtraction method, and the amplitude-fluctuation method. Also, errors introduced by using the zero-order Bessel function directly into the analysis of the fringe pattern were investigated. The video-signal-addition method has been the most generally used ESPI technique for vibration measurement. However, without additional image and/or signal-processing procedures, the fringe pattern obtained directly by the video-signal-addition method is rather difficult to observe. The reason for poor visibility of the experimentally obtained fringe pattern with this method is explained. To increase the fringe pattern's visibility without additional image and/or signal processes, we tried two video-signal-subtraction methods. One of the two methods is the video-signal-subtraction method that has normally been used in the static applications. The other method, called the amplitude-fluctuation method, and its associated theory are reported here.
通过电子散斑干涉术(ESPI)技术,比较了基于时间平均技术的三种不同图像处理方法用于振动测量。这三种方法分别是视频信号相加法、视频信号相减法和幅度波动法。此外,还研究了直接将零阶贝塞尔函数用于条纹图案分析所引入的误差。视频信号相加法一直是振动测量中最常用的ESPI技术。然而,若没有额外的图像和/或信号处理程序,通过视频信号相加法直接获得的条纹图案相当难以观察。解释了用这种方法实验获得的条纹图案可见度差的原因。为了在不进行额外图像和/或信号处理的情况下提高条纹图案的可见度,我们尝试了两种视频信号相减法。两种方法中的一种是通常用于静态应用的视频信号相减法。另一种方法,称为幅度波动法,及其相关理论在此进行了报道。