Adaptive undermatched systematic error mitigation algorithm considering spatial continuity in digital image correlation

doi:10.1088/2051-672X/ade7a4

2025-09-30

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DOI：10.1088/2051-672X/ade7a4

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摘要

En 中文

在使用数字图像相关（DIC）方法测量非均匀复杂变形时，由形状函数不匹配引起的系统误差是造成不准确性的主要原因，其影响常超过随机噪声和灰度插值误差等其他误差。本研究主要聚焦于缓解这些不匹配的系统误差。在本工作中，将对应此类误差的传统模型扩展至全面分析整个子集区域。基于此模型，提出了一种新型缓解方法，该方法融合了空间连续性考量。通过平均每个像素重新计算的位移结果，该方案显著降低了计算过程中引入的潜在误差，并在处理复杂变形表征时实现了对实际位移更精确的估计。

Keyword:

digital image correlation

undermatched shape function

systematic errors

inhomogeneous deformation

期刊

SURFACE TOPOGRAPHY-METROLOGY AND PROPERTIES

IF:

2.4

论文数:

被引数:

机构

chinese academy of sciences

学者数:

56.7W

论文数: 45.0W

被引数: 704

michigan state university

学者数:

3.6W

论文数: 3.2W

被引数: 44

引用论文

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