Comparison of a non-contact extensometer using image analysis and digital image correlation for non-contact displacement measurement
Year: 2026
Type: article
Abstract: Image analysis using computer vision represents a new approach for non-contact displacement measurement. This paper aims to compare the accuracy of a non-contact extensometer using image analysis and digital image correlation, which is currently considered as the standard in the field of non-contact extensometers. The accuracy comparison was performed for displacement measurements during the creep test. The measurements indicate that a non-contact extensometer using image analysis can serve as a complete alternative to traditional extensometers. The results provided by the introduced method showed very good agreement with the latter ones.
Source: Transportation research procedia
Authors: Ondrej Piroh, Jaroslav Majko, Marián Handrik, Milan Vaško, Martin Fusek, Michal Šofer, Jakub Cienciala, Milan Sága
Institutions: University of Žilina, VSB - Technical University of Ostrava
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
Award: G6604863875
OpenAlex ID: W7125956593
