Automatic Semantic Segmentation of Benthic Habitats Using Images from Towed Underwater Camera in a Complex Shallow Water Environment
Underwater image segmentation is useful for benthic habitat mapping and monitoring; however, manual annotation is time-consuming and tedious. We propose automated segmentation of benthic habitats using unsupervised semantic algorithms. Four such algorithms––Fast and Robust Fuzzy C-Means (FR), Superp...
Zapisane w:
| Główni autorzy: | , , |
|---|---|
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2022-04-01
|
| Seria: | Remote Sensing |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2072-4292/14/8/1818 |
| Etykiety: |
Nie ma etykietki, Dołącz pierwszą etykiete!
|