| DOI | Trouver le DOI : https://doi.org/10.1109/OCEANSLimerick52467.2023.10244475 |
|---|
| Auteur | Rechercher : Gash, Robert M.1; Rechercher : Murrant, Kevin A.1; Rechercher : Mills, Jason W.1; Rechercher : Duan, Richard R. J. |
|---|
| Affiliation | - Conseil national de recherches du Canada. Génie océanique, côtier et fluvial
|
|---|
| Format | Texte, Article |
|---|
| Conférence | OCEANS 2023, June 5-8, 2023-, Limerick, Ireland |
|---|
| Sujet | model testing; ice basin; managed ice; computer vision; image processing; gradient vector flow snake; vessel control; autonomous vessels; image segmentation; oceans; process control; ice; real-time system; testing |
|---|
| Résumé | The following paper describes recent efforts made by the National Research Council of Canada (NRC) in investigating improved approaches to image segmentation of managed ice floes, particularly in physical-scale model testing basins. A segmentation approach previously implemented by NRC is compared against a method utilizing Gradient Vector Flow (GVF) Snakes, and a modified version of this approach with potentially improved run-time performance is discussed. |
|---|
| Date de publication | 2023-06-05 |
|---|
| Maison d’édition | IEEE |
|---|
| Dans | |
|---|
| Langue | anglais |
|---|
| Publications évaluées par des pairs | Oui |
|---|
| Exporter la notice | Exporter en format RIS |
|---|
| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
|---|
| Identificateur de l’enregistrement | d850849b-1f20-4bb1-9d31-5199e77ea8f2 |
|---|
| Enregistrement créé | 2024-07-30 |
|---|
| Enregistrement modifié | 2024-07-30 |
|---|
