Ehsaneddin Jalilian, Andreas Uhl. Deep Learning Based Automated Vickers Hardness Measurement. In Nicolas Tsapatsoulis, Andreas Panayides, Theo Theocharides, Andreas Lanitis, Constantinos S. Pattichis, Mario Vento, editors, Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II. Volume 13053 of Lecture Notes in Computer Science, pages 3-13, Springer, 2021. [doi]
@inproceedings{JalilianU21,
title = {Deep Learning Based Automated Vickers Hardness Measurement},
author = {Ehsaneddin Jalilian and Andreas Uhl},
year = {2021},
doi = {10.1007/978-3-030-89131-2_1},
url = {https://doi.org/10.1007/978-3-030-89131-2_1},
researchr = {https://researchr.org/publication/JalilianU21},
cites = {0},
citedby = {0},
pages = {3-13},
booktitle = {Computer Analysis of Images and Patterns - 19th International Conference, CAIP 2021, Virtual Event, September 28-30, 2021, Proceedings, Part II},
editor = {Nicolas Tsapatsoulis and Andreas Panayides and Theo Theocharides and Andreas Lanitis and Constantinos S. Pattichis and Mario Vento},
volume = {13053},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-89131-2},
}