Background Deep learning-based digital image correlation (DL-based DIC) has gained
increasing attention in the last two years. However, existing DL-based DIC algorithms are …

Digital image correlation (DIC) is a well-established noncontact displacement measurement
method. Nevertheless, there are still three aspects that can be further improved: accuracy …

The use of supervised neural networks is a new approach to solving digital image
correlation (DIC) problems, but the existing methods solely adopt the black-box neural …

Parallel digital image correlation (DIC) computation has been increasingly used in DIC
community due to the growing requirement on real-time deformation monitoring. In existing …

First, a displacement-field decomposition strategy is proposed that effectively enhances the
accuracy of digital image correlation (DIC) algorithms under large displacement or …

As an indispensable non-destructive testing technique, digital image correlation (DIC) has
been increasingly applied to various engineering areas concerning deformation …

Digital image correlation (DIC) is a non-contact optical method that tracks the speckle
pattern on specimen surface to calculate the displacement and strain by image correlation …

Purpose The purpose of this paper is to provide a comprehensive review of a non-contact
full-field optical measurement technique known as digital image correlation (DIC) …

Accurate initial guess plays a key role to realize full-automatic digital image correlation (DIC)
analysis, especially when large rotational deformation presents in deformed images. In this …

The implementation of digital image correlation (DIC) involves several different problems,
such as image prefiltering, image intensity gradient calculation, image intensity interpolation …