Ilyass Tabiai, Gleb Tkachev, Patrick Diehl, Steffen Frey, Thomas Ertl, Daniel Therriault and Martin Lévesque
Dataset (2019)
An external link is available for this itemDepartment: | Department of Mechanical Engineering |
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PolyPublie URL: | https://publications.polymtl.ca/61204/ |
Source: | Zenodo (CERN European Organization for Nuclear Research) |
Publisher: | European Organization for Nuclear Research |
DOI: | 10.5281/zenodo.2566394 |
Other DOIs related to this document: | 10.1016/j.engfracmech.2019.106485; 10.5281/zenodo.2566393 |
Official URL: | https://doi.org/10.5281/zenodo.2566394 |
Date Deposited: | 17 Dec 2024 12:06 |
Last Modified: | 19 Dec 2024 10:17 |
Cite in APA 7: | Tabiai, I., Tkachev, G., Diehl, P., Frey, S., Ertl, T., Therriault, D., & Lévesque, M. (2019). Hybrid image processing approach for autonomous crack area detection and tracking using local digital image correlation results applied to single-fiber interfacial debonding [Dataset]. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.2566394 |
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