iCorrVision-2D: An integrated python-based open-source Digital Image Correlation software for in-plane measurements (Part 1)
João Carlos Andrade de Deus Filho, L.C.S. Nunes, José Xavier
Abstract
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).