Review of High‐Speed Digital Image Correlation: Advancements and Good Practices

ABSTRACT This paper reviews the current state of the art in high‐speed (HS) and ultrahigh‐speed (UHS) digital image correlation (DIC) techniques, emphasizing their critical role in experimental research across various scientific domains. HS and UHS DIC have evolved significantly, driven by advancements in camera systems, image processing algorithms and experimental methodologies. These developments have opened new avenues for capturing and analysing dynamic events with unprecedented temporal and spatial detail, but not without introducing challenges such as optical distortions, motion blur and lighting issues that can affect measurement quality. This review advocates for standardized reporting practices in HS/UHS DIC methodologies to improve reproducibility and reliability across studies, drawing on guidelines from the International Digital Image Correlation Society (iDICs). Through a comprehensive analysis of over 150 articles, this review identifies key advancements in imaging technology and their application in six research domains: material characterization, test development, fracture mechanics, model validation, ballistic and explosive phenomena assessment and measurement uncertainties. Distinctions between two‐dimensional (2D) and stereo‐DIC applications are explored, offering insights into their practical implementation and trade‐offs. Good practices for HS/UHS DIC applications are proposed along with suggestions for future directions for this evolving field, highlighting the indispensable role of technological innovation in expanding the capabilities of optical metrology.

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Publication Details

Journal
Strain
Published
2025-12-01
DOI
https://doi.org/10.1111/str.70018
Primary Topic
Optical measurement and interference techniques
Type
article
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article

Review of High‐Speed Digital Image Correlation: Advancements and Good Practices

Phillip Jannotti, Leslie Lamberson, Phillip L. Reu, Alexander Westra et al.
Strain
Optical measurement and interference techniques
article

Review of High‐Speed Digital Image Correlation: Advancements and Good Practices

Phillip Jannotti, Leslie Lamberson, Phillip L. Reu, Alexander Westra, A. Arrington
article en

Abstract

ABSTRACT This paper reviews the current state of the art in high‐speed (HS) and ultrahigh‐speed (UHS) digital image correlation (DIC) techniques, emphasizing their critical role in experimental research across various scientific domains. HS and UHS DIC have evolved significantly, driven by advancements in camera systems, image processing algorithms and experimental methodologies. These developments have opened new avenues for capturing and analysing dynamic events with unprecedented temporal and spatial detail, but not without introducing challenges such as optical distortions, motion blur and lighting issues that can affect measurement quality. This review advocates for standardized reporting practices in HS/UHS DIC methodologies to improve reproducibility and reliability across studies, drawing on guidelines from the International Digital Image Correlation Society (iDICs). Through a comprehensive analysis of over 150 articles, this review identifies key advancements in imaging technology and their application in six research domains: material characterization, test development, fracture mechanics, model validation, ballistic and explosive phenomena assessment and measurement uncertainties. Distinctions between two‐dimensional (2D) and stereo‐DIC applications are explored, offering insights into their practical implementation and trade‐offs. Good practices for HS/UHS DIC applications are proposed along with suggestions for future directions for this evolving field, highlighting the indispensable role of technological innovation in expanding the capabilities of optical metrology.

StrainVol. 61(6)
DEVCOM Army Research Laboratory (US), Colorado School of Mines (US), Sandia National Laboratories (US)
Openalex Percentile: Top 60%
Optical measurement and interference techniques
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Review of High‐Speed Digital Image Correlation: Advancements and Good Practices — Phillip Jannotti, Leslie Lamberson, et al. · Strain (2025) | TGRS Research Map | TGRS