一种基于短图像序列的时间序列数字图像相关方法
A Short Image Series Based Scheme for Time Series Digital Image Correlation
摘要：
提出了一种新的数字图像相关方法，提出了一种短时间序列DIC（STS-DIC）方法。STS-DIC不是单独处理原始变形散斑图像，而是将来自短时间序列的几个相邻变形散斑图像组合，然后处理平均图像，其中引入了随时间的变形连续性。在基于子集表示方法的基础上，假设相邻图像的变形在时间上是线性的，提出了一种新的八元时空位移表示方法。然后，建立了STS-DIC模型，并基于Newton-Raphson迭代法给出了求解方案。所提出的方法进行了验证的数值和实验情况。结果表明，STS-DIC在保持可接受的实际计算代价的前提下，大大提高了传统DIC在简单和复杂变形条件下的精度.
英文摘要：
A new scheme for digital image correlation, i.e., short time series DIC (STS-DIC) is proposed. Instead of processing the original deformed speckle images individually, STS-DIC combines several adjacent deformed speckle images from a short time series and then processes the averaged image, for which deformation continuity over time is introduced. The deformation of several adjacent images is assumed to be linear in time and a new spatial-temporal displacement representation method with eight unknowns is presented based on the subset-based representation method. Then, the model of STS-DIC is created and a solving scheme is developed based on the Newton-Raphson iteration. The proposed method is verified for numerical and experimental cases. The results show that the proposed STS-DIC greatly improves the accuracy of traditional DIC, both under simple and complicated deformation conditions, while retaining acceptable actual computational cost.
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