光学学报, 2014, 34 (s2): s210006, 网络出版: 2014-12-02   

基于径向基函数的ESPI滤波方法

ESPI Filtering Method Based on Radial Basis Function
作者单位
1 沈阳航空航天大学工程训练中心, 辽宁 沈阳 110136
2 天津大学理学院应用物理系, 天津 300072
摘要
电子散斑干涉技术(ESPI)测量物体变形时,初始载荷下采集的散斑图像呈现出粗宽分布,提出了一种基于径向基函数的粗宽条纹图滤波方法。介绍了基于径向基函数平滑插值的滤波原理,分析了该滤波方法的参数选取问题。通过模拟散斑条纹图与典型的方向二阶偏微分方程(PDE)滤波模型、窗傅里叶滤波(WFF)模型进行比较,该滤波方法获得的峰值信噪比(PSNR)高于其他两种方法,对低质量粗宽条纹图滤波效果良好。进一步利用该方法对一幅实验获得的散斑条纹图进行了滤波。以上研究结果表明,基于径向基函数平滑插值的滤波方法能够有效地对电子散斑干涉粗条纹图进行滤波处理。
Abstract
The collected speckle image presents wide density when electronic speckle pattern interferometry (ESPI) technology measures the deformation with initial load. A kind of filtering method for wide density speckle image is proposed based on the radial basis function (RBF). The filtering principle based on the RBF interpolating is introduced, and the selection problem of the parameters is analyzed. The filtering performance of the proposed method is compared with the representative orientation second order partial differential equation (PDE) filtering model and the windowed Fourier filter (WFF) method through computer-simulated speckle fringe image, the peak signal to noise ratio (PSNR) of the proposed method is better than the other two methods, and the proposed method has good performance for wide density fringe images. Further, an experimentally obtained fringe image is filtered using this method. The experimental results have demonstrated that the filtering method based on RBF smoothing interpolating can process ESPI wide fringe image effectively.

王琳霖, 唐晨. 基于径向基函数的ESPI滤波方法[J]. 光学学报, 2014, 34(s2): s210006. Wang Linlin, Tang Chen. ESPI Filtering Method Based on Radial Basis Function[J]. Acta Optica Sinica, 2014, 34(s2): s210006.

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