載入...
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...
Na minha lista:
| 發表在: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
MDPI
2018
|
| 主題: | |
| 在線閱讀: | 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 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|