An integrated python-based open-source Digital Image Correlation software for in-plane measurements (Part 1)

The authors would like to acknowledge Fundação para a Ciência e a Tecnologia, Portugal (FCT-MCTES) throughout the project PTDC/EMD-EMD/1230/2021 (AneurysmTool) and the support provided by the Brazilian Government funding agencies CAPES , FAPERJ and CNPq . Funding Information: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Joao Filho reports financial support was provided by Coordination of Higher Education Personnel Improvement. Jose Xavier reports financial support was provided by Foundation for Science and Technology. Publisher Copyright: © 2022 The Author(s)The main purpose of this work is to present a new fully-customizable out-of-the-box open-source 2D Digital Image Correlation (2D-DIC) software, so-called iCorrVision-2D. It is implemented in Python, including image acquisition (grabber), numerical correlation and post-processing modules. The proposed software has an intuitive graphical user interface to support selecting all main correlation parameters, calibration and region of interest. The iCorrVision-2D software stands out over other open-source projects due to the great number of functionalities and the control of all important inputs, such as correlation domain, approach (spatial and incremental) and matching criterion, displacement filtering, interpolation techniques, strain window and reconstruction shape functions. Results demonstrate that the iCorrVision-2D software is robust and can be used to measure full-field displacements and strains with satisfactory accuracy and precision. For out-of-plane measurements, iCorrVision-3D will be presented in Part 2 (iCorrVision-3D, SoftwareX, 2022).publishersversionpublishe