This repo contains the dataset for our MLWA publication Automated Defect Detection for Coatings via Height Profiles obtained by Laser-Scanning microscopy.
This work is licensed under a Creative Commons Attribution 4.0 International License.
We thank the European Union, the MWIDE NRW, Germany, the Ministerie van Economische Zaken en Klimaat and the provinces of Limburg, Gelderland, Noord-Brabant and Overijssel, Netherlands for funding the Interreg project D-NL-HIT, Germany. C. Schmitz was also supported by the program Karriereweg FH-Professur, Germany of the state of North Rhine Westphalia. Furthermore, this work has been sponsored by the German Federal Ministry of Education and Research, Germany in the funding program “Forschung an Fachhochschulen”, project IDACH (grant no. 13FH557KX0, i2DACH ).
If you use this work in your research or wish to refer to the baseline results published here, please use the following BibTeX entries:
@article{HOSEINI2022100413,
title = {Automated defect detection for coatings via height profiles obtained by laser-scanning microscopy},
journal = {Machine Learning with Applications},
volume = {10},
pages = {100413},
year = {2022},
issn = {2666-8270},
doi = {https://doi.org/10.1016/j.mlwa.2022.100413},
url = {https://www.sciencedirect.com/science/article/pii/S2666827022000883},
author = {Sayed Hoseini and Gaoyuan Zhang and Alexander Jongbloed and Christian Schmitz and Christoph Quix},
}