Wird geladen...
Anomaly Detection in Nanofibrous Materials by CNN-Based Self-Similarity
Automatic detection and localization of anomalies in nanofibrous materials help to reduce the cost of the production process and the time of the post-production visual inspection process. Amongst all the monitoring methods, those exploiting Scanning Electron Microscope (SEM) imaging are the most eff...
Gespeichert in:
| Veröffentlicht in: | Sensors (Basel) |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2018
|
| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5795842/ https://ncbi.nlm.nih.gov/pubmed/29329268 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18010209 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|