Image Processing for Ice Floe Analyses in Broken-ice Model Testing
The ice floe shape and size distribution are important ice parameters in ice-structure analyses. Before performing an analysis at full scale, the dynamic positioning (DP) experiments in model ice at the Hamburg Ship Model Basin (HSVA) allow for the testing of relevant image processing algorithms. A...
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Online Access: | http://hdl.handle.net/11250/2384299 https://doi.org/10.1016/j.coldregions.2014.12.004 |
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ftntnutrondheimi:oai:ntnuopen.ntnu.no:11250/2384299 2023-05-15T15:06:12+02:00 Image Processing for Ice Floe Analyses in Broken-ice Model Testing Zhang, Qin Skjetne, Roger Metrikin, Ivan Løset, Sveinung 2015-01-02T17:53:39Z http://hdl.handle.net/11250/2384299 https://doi.org/10.1016/j.coldregions.2014.12.004 eng eng Elsevier http://www.sciencedirect.com/science/article/pii/S0165232X14002201 Cold Regions Science and Technology 2015, 111:27-38 urn:issn:0165-232X http://hdl.handle.net/11250/2384299 https://doi.org/10.1016/j.coldregions.2014.12.004 cristin:1189396 111 Cold Regions Science and Technology VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 Arktisk teknologi / Arctic Technology Isforvaltning / Ice Management Miljøovervåkning / Environmental monitoring Journal article Peer reviewed 2015 ftntnutrondheimi https://doi.org/10.1016/j.coldregions.2014.12.004 2019-09-17T06:50:34Z The ice floe shape and size distribution are important ice parameters in ice-structure analyses. Before performing an analysis at full scale, the dynamic positioning (DP) experiments in model ice at the Hamburg Ship Model Basin (HSVA) allow for the testing of relevant image processing algorithms. A complete overview image of the ice floe distribution in the ice tank was generated from the experiments. An image processing method based on a gradient vector flow (GVF) snake and a distance transform is proposed to identify individual ice floes. Ice floe characteristics such as position, area, and size distribution are obtained. A model of the managed ice field's configuration, including identification of overlapping floes, is also proposed for further studies in ice-force numerical simulations. Finally, the proposed algorithm is applied to an ice surveillance video to further illustrate its applicability to ice management. © 2014 Elsevier B.V. All rights reserved. This is the authors' accepted and refereed manuscript to the article. Locked until 2016-12-15. Article in Journal/Newspaper Arctic Arktis* NTNU Open Archive (Norwegian University of Science and Technology) Arctic Cold Regions Science and Technology 111 27 38 |
institution |
Open Polar |
collection |
NTNU Open Archive (Norwegian University of Science and Technology) |
op_collection_id |
ftntnutrondheimi |
language |
English |
topic |
VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 Arktisk teknologi / Arctic Technology Isforvaltning / Ice Management Miljøovervåkning / Environmental monitoring |
spellingShingle |
VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 Arktisk teknologi / Arctic Technology Isforvaltning / Ice Management Miljøovervåkning / Environmental monitoring Zhang, Qin Skjetne, Roger Metrikin, Ivan Løset, Sveinung Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
topic_facet |
VDP::Teknologi: 500::Marin teknologi: 580::Offshoreteknologi: 581 VDP::Technology: 500::Marine technology: 580::Offshore technology: 581 Arktisk teknologi / Arctic Technology Isforvaltning / Ice Management Miljøovervåkning / Environmental monitoring |
description |
The ice floe shape and size distribution are important ice parameters in ice-structure analyses. Before performing an analysis at full scale, the dynamic positioning (DP) experiments in model ice at the Hamburg Ship Model Basin (HSVA) allow for the testing of relevant image processing algorithms. A complete overview image of the ice floe distribution in the ice tank was generated from the experiments. An image processing method based on a gradient vector flow (GVF) snake and a distance transform is proposed to identify individual ice floes. Ice floe characteristics such as position, area, and size distribution are obtained. A model of the managed ice field's configuration, including identification of overlapping floes, is also proposed for further studies in ice-force numerical simulations. Finally, the proposed algorithm is applied to an ice surveillance video to further illustrate its applicability to ice management. © 2014 Elsevier B.V. All rights reserved. This is the authors' accepted and refereed manuscript to the article. Locked until 2016-12-15. |
format |
Article in Journal/Newspaper |
author |
Zhang, Qin Skjetne, Roger Metrikin, Ivan Løset, Sveinung |
author_facet |
Zhang, Qin Skjetne, Roger Metrikin, Ivan Løset, Sveinung |
author_sort |
Zhang, Qin |
title |
Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
title_short |
Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
title_full |
Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
title_fullStr |
Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
title_full_unstemmed |
Image Processing for Ice Floe Analyses in Broken-ice Model Testing |
title_sort |
image processing for ice floe analyses in broken-ice model testing |
publisher |
Elsevier |
publishDate |
2015 |
url |
http://hdl.handle.net/11250/2384299 https://doi.org/10.1016/j.coldregions.2014.12.004 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Arktis* |
genre_facet |
Arctic Arktis* |
op_source |
111 Cold Regions Science and Technology |
op_relation |
http://www.sciencedirect.com/science/article/pii/S0165232X14002201 Cold Regions Science and Technology 2015, 111:27-38 urn:issn:0165-232X http://hdl.handle.net/11250/2384299 https://doi.org/10.1016/j.coldregions.2014.12.004 cristin:1189396 |
op_doi |
https://doi.org/10.1016/j.coldregions.2014.12.004 |
container_title |
Cold Regions Science and Technology |
container_volume |
111 |
container_start_page |
27 |
op_container_end_page |
38 |
_version_ |
1766337854094442496 |