| DOI | Resolve DOI: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244475 |
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| Author | Search for: Gash, Robert M.1; Search for: Murrant, Kevin A.1; Search for: Mills, Jason W.1; Search for: Duan, Richard R. J. |
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| Affiliation | - National Research Council of Canada. Ocean, Coastal and River Engineering
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| Format | Text, Article |
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| Conference | OCEANS 2023, June 5-8, 2023-, Limerick, Ireland |
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| Subject | 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 |
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| Abstract | 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. |
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| Publication date | 2023-06-05 |
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| Publisher | IEEE |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | d850849b-1f20-4bb1-9d31-5199e77ea8f2 |
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| Record created | 2024-07-30 |
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| Record modified | 2024-07-30 |
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