Open Access
| Issue |
2019
19th International Congress of Metrology
|
|
|---|---|---|
| Article Number | 03001 | |
| Number of page(s) | 5 | |
| Section | Dimensional Metrology / Métrologie Dimensionnelle | |
| DOI | https://doi.org/10.1051/metrology/201903001 | |
| Published online | 23 September 2019 | |
19th International Congress of Metrology, 03001 (2019)
Deep learning and 3D optical metrology improve complex feature detection and ranking
Bruker Alicona, Sales Department, 25000 Besançon, France
With the increasing need of measurement automation in many industrial sectors, 3D optical metrology is now required to integrate options like surface feature detection and classification that were previously performed by visual inspectors. The recent combination of deep learning algorithms with 3D optical metrology improves characterization and classification of complex surfaces.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.