Author:
Hinz Marcin,Pietruschka Jannis,Bracke Stefan
Publisher
Springer International Publishing
Reference16 articles.
1. Koblar, V., Pecar, M., Gantar, K., Tusar, T., Filipic, B.: Determining surface roughness of semifinished products using computer vision and machine learning. In: Proceedings of the 18th International Multiconference Information Society, Volume A, pp. 51–54 (2015)
2. Suen, V., et al.: Noncontact surface roughness estimation using 2D complex wavelet enhanced resnet for intelligent evaluation of milled metal surface quality. Appl. Sci. 8, 381 (2018)
3. Rifai, A.P., Aoyama, H., Tho, N.H., Dawal, S.Z.M., Masruroh, N.A.: Evaluation of turned and milled surfaces roughness using convolutional neural network. Measurement 161, 107860 (2020)
4. Hinz, M., Radetzky, M., Guenther, L.H., Fiur, P., Bracke, S.: Machine learning driven image analysis of fine grinded knife blade surface topographies. Procedia Manuf. 39, 1817–1826 (2019)
5. Hinz, M., Guenther, L.H., Bracke, S.: Application of computer vision in the analysis and prediction of fine grinded surfaces. In: Baraldi, P., DiMaio, F., Zio, E. (eds.) Proceedings of ESREL 2020 PSAM 15. Research Publishing Services, Singapore (2020)