Review of research progress and development trend of digital image correlation

He, Xindang; Zhou, Run; Liu, Zheyuan; Yang, Suliang; Chen, Ke; Li, Lei

doi:10.1108/mmms-07-2023-0242

Cited by 4 publications

(1 citation statement)

References 78 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, the precision of DIC is influenced by various factors such as system structural parameters, environmental lighting conditions, surface speckle settings, pixel-matching algorithms, etc. [7,[29][30][31][32]. Therefore, the development of high-fidelity simulations of 3D-DIC is of significant value, as they can assist researchers in device selection, system design, algorithm testing, precision assessment, etc., at a low cost.…”

Section: Introductionmentioning

confidence: 99%

A Novel Simulation Method for 3D Digital-Image Correlation: Combining Virtual Stereo Vision and Image Super-Resolution Reconstruction

Chen,

Li,

Liu

et al. 2024

Sensors

View full text Add to dashboard Cite

3D digital-image correlation (3D-DIC) is a non-contact optical technique for full-field shape, displacement, and deformation measurement. Given the high experimental hardware costs associated with 3D-DIC, the development of high-fidelity 3D-DIC simulations holds significant value. However, existing research on 3D-DIC simulation was mainly carried out through the generation of random speckle images. This study innovatively proposes a complete 3D-DIC simulation method involving optical simulation and mechanical simulation and integrating 3D-DIC, virtual stereo vision, and image super-resolution reconstruction technology. Virtual stereo vision can reduce hardware costs and eliminate camera-synchronization errors. Image super-resolution reconstruction can compensate for the decrease in precision caused by image-resolution loss. An array of software tools such as ANSYS SPEOS 2024R1, ZEMAX 2024R1, MECHANICAL 2024R1, and MULTIDIC v1.1.0 are used to implement this simulation. Measurement systems based on stereo vision and virtual stereo vision were built and tested for use in 3D-DIC. The results of the simulation experiment show that when the synchronization error of the basic stereo-vision system (BSS) is within 10−3 time steps, the reconstruction error is within 0.005 mm and the accuracy of the virtual stereo-vision system is between the BSS’s synchronization error of 10−7 and 10−6 time steps. In addition, after image super-resolution reconstruction technology is applied, the reconstruction error will be reduced to within 0.002 mm. The simulation method proposed in this study can provide a novel research path for existing researchers in the field while also offering the opportunity for researchers without access to costly hardware to participate in related research.

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel Simulation Method for 3D Digital-Image Correlation: Combining Virtual Stereo Vision and Image Super-Resolution Reconstruction

Chen,

Li,

Liu

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

Three-dimensional displacement measurement based on DIC-assisted polarization fringe projection

Zhu,

Long

et al. 2025

Optics Communications

View full text Add to dashboard Cite

Impact of Speckle Deformability on Digital Imaging Correlation

Wang,

Wu,

Zhu

et al. 2024

IEEE Access

View full text Add to dashboard Cite

Digital Image Correlation (DIC) has been widely used as a non-contact deformation measurement technique. Nevertheless, its accuracy is greatly affected by the speckle pattern on the specimen. To systematically evaluate how speckle deformability affects the precision of DIC algorithms. In this study, a test dataset of 2D speckle patterns with various prescribed deformation fields was numerically generated, containing two categories of speckles, i.e., the deformable and the non-deformable (rigid) ones. This dataset was used to evaluate the performance of inverse compositional Gauss-Newton (ICGN)-based DIC algorithms with two types of shape function (first-order and second-order), in the different scenarios of the deformation field. The results showed that imaging noise had a significant influence on the DIC algorithm. The first-order shape function (ICGN-1) performed better when tracking the simple linear deformation field. While the second-order shape function (ICGN-2) was proved to perform better on nonlinear deformations. Moreover, the deformability of the speckle was found to have an obvious impact on the performance of the DIC algorithm. ICGN-2 could effectively reduce so-called speckle rigidity induced (SRI) error. Conclusively, ICGN-2 should be chosen as priority, because of its feasibility on non-linear deformation fields and speckle rigidity. While in the linear deformation scenarios, ICGN-1 was still a robust and efficient method.

show abstract

Review of research progress and development trend of digital image correlation

Cited by 4 publications

References 78 publications

A Novel Simulation Method for 3D Digital-Image Correlation: Combining Virtual Stereo Vision and Image Super-Resolution Reconstruction

A Novel Simulation Method for 3D Digital-Image Correlation: Combining Virtual Stereo Vision and Image Super-Resolution Reconstruction

Three-dimensional displacement measurement based on DIC-assisted polarization fringe projection

Impact of Speckle Deformability on Digital Imaging Correlation

Contact Info

Product

Resources

About