scholarly journals Fast and large-converge-radius inverse compositional Levenberg–Marquardt algorithm for digital image correlation: principle, validation, and open-source toolbox

2022 ◽  
Vol 151 ◽  
pp. 106930
Author(s):  
Bin Chen ◽  
Erik Jungstedt
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Digital Image ◽  
Image Correlation ◽  
Marquardt Algorithm ◽  
Levenberg Marquardt

scholarly journals An Open Source Software for the Measurement of Deformation Fields by Means of Digital Image Correlation

2013 ◽  
Vol 19 (S2) ◽  
pp. 820-821 ◽  
Author(s):  
N. Vanderesse ◽  
M. Lagacé ◽  
F. Bridier ◽  
P. Bocher
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Open Source Software ◽  
Digital Image ◽  
Image Correlation

Extended abstract of a paper presented at Microscopy and Microanalysis 2013 in Indianapolis, Indiana, USA, August 4 – August 8, 2013.

scholarly journals MultiDIC: An Open-Source Toolbox for Multi-View 3D Digital Image Correlation

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 30520-30535 ◽  
Author(s):  
Dana Solav ◽  
Kevin M. Moerman ◽  
Aaron M. Jaeger ◽  
Katia Genovese ◽  
Hugh M. Herr
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Digital Image ◽  
Image Correlation ◽  
3D Digital Image Correlation

scholarly journals Comparison of sub-grain scale digital image correlation calculated using commercial and open-source software packages

2020 ◽  
Vol 163 ◽  
pp. 110271 ◽  
Author(s):  
D. Lunt ◽  
R. Thomas ◽  
M. Roy ◽  
J. Duff ◽  
M. Atkinson ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Open Source Software ◽  
Digital Image ◽  
Image Correlation ◽  
Software Packages

scholarly journals RealPi2dDIC: A Low-cost and open-source approach to in situ 2D Digital Image Correlation (DIC) applications

SoftwareX ◽  
2021 ◽  
Vol 13 ◽  
pp. 100645
Author(s):  
Partha Pratim Das ◽  
Muthu Ram Prabhu Elenchezhian ◽  
Vamsee Vadlamudi ◽  
Kenneth Reifsnider ◽  
Rassel Raihan
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Digital Image ◽  
Low Cost ◽  
Image Correlation ◽  
2D Digital Image Correlation

scholarly journals DIGITAL IMAGE CORRELATION FROM COMMERCIAL TO FOS SOFTWARE: A MATURE TECHNIQUE FOR FULL-FIELD DISPLACEMENT MEASUREMENTS

2018 ◽  
Vol XLII-2 ◽  
pp. 91-95 ◽  
Author(s):  
V. Belloni ◽  
R. Ravanelli ◽  
A. Nascetti ◽  
M. Di Rita ◽  
D. Mattei ◽  
...  
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Digital Image ◽  
Structural Engineering ◽  
Sample Surface ◽  
Image Correlation ◽  
Full Field ◽  
Field Displacement ◽  
University Of Rome ◽  
The University

In the last few decades, there has been a growing interest in studying non-contact methods for full-field displacement and strain measurement. Among such techniques, Digital Image Correlation (DIC) has received particular attention, thanks to its ability to provide these information by comparing digital images of a sample surface before and after deformation. The method is now commonly adopted in the field of civil, mechanical and aerospace engineering and different companies and some research groups implemented 2D and 3D DIC software. In this work a review on DIC software status is given at first. Moreover, a free and open source 2D DIC software is presented, named py2DIC and developed in Python at the Geodesy and Geomatics Division of DICEA of the University of Rome “La Sapienza”; its potentialities were evaluated by processing the images captured during tensile tests performed in the Structural Engineering Lab of the University of Rome “La Sapienza” and comparing them to those obtained using the commercial software Vic-2D developed by Correlated Solutions Inc, USA. The agreement of these results at one hundredth of millimetre level demonstrate the possibility to use this open source software as a valuable 2D DIC tool to measure full-field displacements on the investigated sample surface.

scholarly journals μDIC: An open-source toolkit for digital image correlation

SoftwareX ◽  
2020 ◽  
Vol 11 ◽  
pp. 100391 ◽  
Author(s):  
Sindre Nordmark Olufsen ◽  
Marius Endre Andersen ◽  
Egil Fagerholt
Keyword(s):  
Digital Image Correlation ◽  
Open Source ◽  
Digital Image ◽  
Image Correlation
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