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Smoothing displacement field obtained via digital image correlation for robust strain calculation

机译:通过数字图像相关获得的平滑位移场,用于鲁棒应变计算

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摘要

A self-adaptive smoothing method is proposed to deal with the displacement field obtained via digital image correlation (DIC). This new smoothing method is based on penalized least squares regression technique, which can penalize the roughness of the displacement and realize displacement denoising. In this method, generalized cross validation (GCV) method and discrete cosine transform (DCT) are used to get penalized parameter and true displacement from the noisy displacement field separately. This method has advantages of easy implementation, little calculation requirement, complete automation and so on. Both simulation analyses and experimental results validate the effectiveness of this smoothing technology, which can improve the strain distribution differentiated by the smoothed displacement without any calculation increasement.
机译:提出了一种自适应平滑方法来处理通过数字图像相关(DIC)获得的位移场。这种新的平滑方法基于惩罚最小二乘回归技术,可以惩罚位移的粗糙度并实现位移去噪。该方法采用广义交叉验证(GCV)法和离散余弦变换(DCT)法分别从噪声位移场得到惩罚参数和真实位移。该方法具有易于实现,计算量少,自动化程度高等优点。仿真分析和实验结果均证明了该平滑技术的有效性,该平滑技术可以改善由平滑位移所区分的应变分布,而无需增加任何计算量。

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  • 作者单位

    Energy and Power College, Nanjing University of Aeronautics and Astronautics, No. 29, Yudao Street, Baixia District, Nanjing 210016, Jiangsu, China,Aeronautics Science and Technology Key Laboratory, Full Scale Aircraft Structure and Fatigue, Xi'an, Shaanxi, China;

    Energy and Power College, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China;

    Aeronautics Science and Technology Key Laboratory, Full Scale Aircraft Structure and Fatigue, Xi'an, Shaanxi, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image denoising; regularization;

    机译:图像降噪;正则化;

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