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Digital image correlation

About: Digital image correlation is a research topic. Over the lifetime, 7842 publications have been published within this topic receiving 132166 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a new methodology is proposed to estimate 3D displacement fields from pairs of images obtained from X-ray computed microtomography (XCMT) and a global approach is followed that evaluates continuous displacement fields.
Abstract: A new methodology is proposed to estimate 3D displacement fields from pairs of images obtained from X-ray computed microtomography (XCMT). Contrary to local approaches, a global approach is followed herein that evaluates continuous displacement fields. Although any displacement basis may be considered, the procedure is specialized to finite element shape functions. The method is illustrated with the analysis of a compression test on a polypropylene solid foam (independently studied in a companion paper). A good stability of the measured displacement field is obtained for cubic element sizes ranging from 16 to 6 voxels.

269 citations

Journal ArticleDOI
TL;DR: Based on the principle of local least square fitting using two-dimensional polynomials, a 2D Savitzky-Golay (SG) digital differentiator is deduced and used to calculate strain fields from the original displacement fields obtained by DIC.
Abstract: Many published research works regarding digital image correlation (DIC) have been focused on the improvements of the accuracy of displacement estimation. However, the original displacement fields calculated at discrete locations using DIC are unavoidably contaminated by noises. If the strain fields are directly computed by differentiating the original displacement fields, the noises will be amplified even at a higher level, and the resulting strain fields are untrustworthy. Based on the principle of local least-square fitting using two-dimensional (2D) polynomials, a 2D Savitzky-Golay (SG) digital differentiator is deduced and used to calculate strain fields from the original displacement fields obtained by DIC. The calculation process can be easily implemented by convolving the SG digital differentiator with the estimated displacement fields. Both homogeneous and inhomogeneous deformation images are employed to verify the proposed technique. The calculated strain fields clearly demonstrate that the proposed technique is simple and effective.

268 citations

ReportDOI
01 Jan 2018

256 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the crack growth resistance behavior of functionally graded materials (FGMs) using the full-field measurement technique of digital image correlation (DIC) and obtained the in-plane displacement field surrounding the propagating crack.

248 citations

Journal ArticleDOI
Wei Tong1
01 Nov 2005-Strain
TL;DR: In this article, the performance of four digital image correlation criteria widely used in strain mapping applications has been critically examined using three sets of digital images with various whole-field deformation characteristics.
Abstract: The performance of four digital image correlation criteria widely used in strain mapping applications has been critically examined using three sets of digital images with various whole-field deformation characteristics. The deformed images in these image sets are digitally modified to simulate the less-than-ideal image acquisition conditions in an actual experiment, such as variable brightness, contrast, uneven local lighting and blurring. The relative robustness, computational cost and reliability of each criterion are assessed for precision strain mapping applications. Recommen- dations are given for selecting a proper image correlation criterion to efficiently extract reliable deformation data from a given set of digital images.

244 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023582
20221,120
2021667
2020646
2019636
2018567