基于平滑样条拟合的相位图像滤波评价方法

Filtering Evaluation Method of Phase Images Based on Smooth Spline Fitting

在散斑干涉测量中,散斑相位图存在大量散斑噪声,需要对其进行滤波处理。但是,目前存在的滤波评价指标不适用于对单一图像持续滤波过程的判断,难以实现滤波过程的自动化。提出一种基于平滑样条拟合的滤波评价方法,通过对滤波过程中相位图的相位分布进行平滑样条拟合并计算其均方根误差,实现对滤波效果的定量分析,以及对持续滤波过程中的图像滤波完成情况的判断,并采用散斑干涉测量中的实验图像对所提方法进行实验验证。实验结果表明,该方法能有效判断散斑相位图是否滤波完成。最后通过对该方法判断的滤波完成图像进行解包裹处理,进一步验证了该方法的有效性和普适性。

In speckle interferometry,there are a large number of speckle noises in the speckle phase map,which need to be filtered.However,the existing filtering evaluation indexes are not suitable to determine the continuous filtering process of single image,and the automation of the filtering process is difficult to be achieved.Therefore,a filtering evaluation method based on smoothing spline fitting is presented in this paper.Firstly the smoothing spline fitting method is used to process the distribution of the phase map.Secondly,the root-mean-square error is used to evaluate the result of continuous filtering process by the smoothing spline fitting.Finally,the experimental images of speckle interferometry are used to verify the proposed method.The results of the experiment show that the method can realize the quantitative analysis of the filtering effect and the judgment of the completion of the image filtering in continuous filtering process,and the effectiveness and universality of the method are also verified.