High-Precision 3D-DIC Measurement Method Based on Improved Forward Newton Iteration.
High-Precision 3D-DIC Measurement Method Based on Improved Forward Newton Iteration.
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DOI：
10.3390/s23063317
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发表时间：
2023-03-21
期刊：
影响因子：
--
通讯作者：
Wang Y
中科院分区：
文献类型：
--
作者：
Wen H;Liu Z;Gao W;Wang Y
针对传统基于特征信息或FFT搜索的3D-DIC算法以牺牲精度换取时间而存在的误差点提取、特征点不匹配、鲁棒性差以及抗噪声性能差导致精度损失等问题，提出一种改进的高精度3D-DIC测量方法。在该方法中，精确的初始值是通过穷举搜索获得的。然后，采用前向牛顿迭代法进行像素分类，并设计一阶九点插值，可以快速获取雅可比矩阵和Hazen矩阵的元素，实现精确的亚像素定位。实验结果表明，改进方法精度较高，其均值误差和标准差稳定性以及极值均优于同类算法。与传统的前向牛顿法相比，改进的前向牛顿法在亚像素迭代阶段的总迭代时间减少，计算效率是传统NR算法的3.8倍。该算法整个过程简单高效，在精度要求较高的场合具有应用价值。
To solve the problems of the traditional 3D-DIC algorithm based on feature information or FFT search at the expense of accuracy in exchange for time, such as error-point extraction, mismatching of feature points, poor robustness, and accuracy loss caused by poor anti-noise performance, an improved high-precision 3D-DIC measurement method was proposed. In this method, the exact initial value is obtained by an exhaustive search. Then, the forward Newton iteration method is used for pixel classification, and the first-order nine-point interpolation is designed, which can quickly obtain the elements of Jacobian and Hazen matrix, and achieve accurate sub-pixel positioning. The experimental results show that the improved method has high accuracy, and its mean error and standard deviation stability and extreme value are better than similar algorithms. Compared with the traditional forward Newton method, the total iteration time of the improved forward Newton method is reduced in the subpixel iteration stage, and the computational efficiency is 3.8 times that of the traditional NR algorithm. The whole process of the proposed algorithm is simple and efficient, and it has application value in the precision occasions requiring high precision.
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