Abstract Accuracy of digital image correlation (DIC) is deeply affected by illumination variation, especially the local pixel saturation exists. A simple and efficient gray intensity adjustment strategy based on feature matching and standard DIC method is presented for estimating the intensities of saturated pixels. Principle of the strategy based on surrounding pixels around the saturated pixel and the principle of the new proposed strategy are first detailed. Simulations and experiments are performed to verify the efficiency of the proposed strategy. The results indicate that the DIC measurements based on the proposed strategy are able to provide more reliable and accurate results as compared to the existing strategy, even though the large local speckles are saturated.

中文翻译：

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估计饱和散斑的灰度强度以提高数字图像相关性的测量精度

摘要 数字图像相关（DIC）的精度受光照变化的影响很大，尤其是存在局部像素饱和。提出了一种基于特征匹配和标准DIC方法的简单有效的灰度强度调整策略来估计饱和像素的强度。首先详细介绍了基于饱和像素周围像素的策略原理和新提出的策略的原理。进行模拟和实验以验证所提出策略的效率。结果表明，与现有策略相比，基于所提出策略的 DIC 测量能够提供更可靠和准确的结果，即使大的局部斑点已经饱和。