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py2dic's Introduction

py2DIC

py2DIC is a free and open-source Python software for 2D Digital Image Correlation (DIC) developed at the Geodesy and Geomatics Division of Sapienza University of Rome.

The software compares a series of images of a sample acquired at different stages of deformation and follows the pixel movement in the Area of Interest (AOI) by matching the same points between the recorded images (template matching method).

At the and of the processing, py2DIC returns the displacement and strain fields inside the AOI.

References

V. Belloni, R. Ravanelli, A. Nascetti, M. Di Rita, D. Mattei, and M. Crespi.: py2dic: A new free and open source software for displacement and strain measurements in the field of experimental mechanics. Sensors, 19(18):3832, https://doi.org/10.3390/s19183832, 2019.

Belloni V., Ravanelli, R., Nascetti, A., Di Rita, M., Mattei, D., and Crespi, M.: Digital Image Correlation from commercial to FOS software: a mature tecnique for full-field displacement measurements, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-2, 91-95, https://doi.org/10.5194/isprs-archives-XLII-2-91-2018, 2018.

Ravanelli R., Nascetti A., Di Rita M., Belloni V., Mattei D., Nisticò N., and Crespi M.: A new Digital Image Correlation software for displacements field measurement in structural applications, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W2, 139-145, https://doi.org/10.5194/isprs-archives-XLII-4-W2-139-2017, 2017.

Presented at: FOSS4G PARIS, Marne-La-Vallée, France, 18-22 July 2017 and ISPRS TC II Mid-term Symposium “Towards Photogrammetry 2020”, Riva del Garda, Italy, 4–7 June 2018

py2dic's People

Contributors

geod-geom avatar robertaravanelli avatar valeriabelloni avatar

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