μDIC: An open-source toolkit for digital image correlation

• Main Authors: Sindre Nordmark Olufsen, Marius Endre Andersen, Egil Fagerholt
• Format: Article
• Language: English
• Published: Elsevier 2020-01-01
• Series: SoftwareX
• Subjects: Digital Image Correlation; B-splines; Speckle image generation; Virtual experiments; Python
• Online Access: http://www.sciencedirect.com/science/article/pii/S2352711019301967

We here present a Digital Image Correlation toolkit, formulated as a Python package. This package aims at providing a complete toolkit for performing DIC analysis on experimental data, performing virtual experiments, as well as a framework for further development. A suite of tools for generating synthetic speckle images, modelling of sensor artefacts and deformation of images by displacement fields, are included. The virtual experiments are used as a part of the accuracy assessment of the toolkit as well as for testing during development. B-spline elements are employed for the discretisation of the displacement fields and allow the polynomial order and degree of continuity to be controlled by the user.