Surface defects detection of cylindrical high-precision industrial parts based on deep learning algorithms : a review
Li Wei, Mahmud Iwan Solihin, Sarah 'Atifah Saruchi, Winda Astuti, Lim Wei Hong, Ang Chun Kit
| Year of publication: |
2024
|
|---|---|
| Authors: | Wei, Li ; Mahmud Iwan Solihin ; Sarah 'Atifah Saruchi ; Astuti, Winda ; Hong, Lim Wei ; Kit, Ang Chun |
| Published in: |
Operations research forum. - Cham : Springer International Publishing, ISSN 2662-2556, ZDB-ID 2978290-9. - Vol. 5.2024, 3, Art.-No. 58, p. 1-71
|
| Subject: | Anomaly detection | Computer vision | Deep learning | Defect detection | High-precision cylindrical parts | Image processing | Optical illumination |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s43069-024-00337-5 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015179829