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Sub-pixel displacement algorithm in temporal sequence digital image correlation based on correlation coefficient weighted fitting

机译:基于相关系数加权拟合的时间序列数字图像相关中的亚像素位移算法

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摘要

Digital image correlation (DIC) is a non-contact technique that is used widely for deformation measurement, but it has problems due to the large amount of calculations required, which make it time consuming. Sub-pixel displacement methods are usually based on spatial correlations, which only consider the spatial continuity of the deformation and ignore temporal continuity. This study proposes a DIC algorithm to calculate sub-pixel displacement combining spatial and temporal correlations. A fast integer-pixel displacement algorithm is employed to calculate full field integer-pixel displacement at different deformation times. Then the moving least squares fitting technique with a weighted function based on the correlation coefficient is used to fit each point's integer-pixel displacement along the time axis, allowing the full field sub-pixel displacement to be calculated for every moment. Experimental results demonstrated the accuracy and efficiency of the proposed algorithm. This achieved the same accuracy as tradition spatial correlation algorithms. Computation efficiency was improved almost 8 fold compared with the IC-GN algorithm, largely due to the integer-pixel displacement calculation; sub-pixel displacement computation only accounted for approximately 2.7% with 41 pixel subsets. Computational efficiency could be further enhanced if a faster integer-pixel displacement calculation method was developed or parallel processing was incorporated.
机译:数字图像相关性(DIC)是一种非接触式技术,广泛用于变形测量,但是由于需要大量的计算,因此存在一些问题,这很费时。亚像素位移方法通常基于空间相关性,其仅考虑变形的空间连续性,而忽略时间连续性。这项研究提出了一种DIC算法来计算结合了空间和时间相关性的亚像素位移。采用快速整数像素位移算法来计算不同变形时间下的全场整数像素位移。然后,使用具有基于相关系数的加权函数的移动最小二乘拟合技术来拟合沿时间轴的每个点的整数像素位移,从而允许针对每个时刻计算全场子像素位移。实验结果证明了该算法的准确性和有效性。这实现了与传统空间相关算法相同的精度。与IC-GN算法相比,计算效率几乎提高了8倍,这主要归功于整数像素位移计算;亚像素位移计算仅占41个像素子集的2.7%。如果开发出更快的整数像素位移计算方法或并入并行处理,则可以进一步提高计算效率。

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