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The study and application of a new filtering method on electronic speckle pattern interferometric fringe

机译:一种电子散斑干涉条纹的新滤波方法的研究与应用

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摘要

It is important for the study of digital image processing to remove noises and enhance images because of various noises in images. The article is concerned with the recursive algorithm-filtering technique, which is capable of effectively removing noise and rapidly leading to a continuous gray-level distribution of a random image. By applying the method on speckle images of defects of rubber material, it is shown that this technique is the most effective and speedy method for the filtering of ESPI fringe patterns. Comparing the images before and after filtering, we can see the advantages of the novel technique clearly. It can increase the accuracy of measurement both in phase measurement and in quantitative evaluations of defects.
机译:对于数字图像处理的研究,由于图像中的各种噪声,消除噪声并增强图像非常重要。本文关注的是递归算法过滤技术,该技术能够有效去除噪声并迅速导致随机图像的连续灰度分布。通过将该方法应用于橡胶材料缺陷的斑点图像上,表明该技术是过滤ESPI条纹图案最有效,最快速的方法。比较过滤前后的图像,我们可以清楚地看到该新技术的优势。它可以提高相位测量和缺陷定量评估中的测量精度。

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