An Application of Shape-Based Level Sets to Fish Detection in Underwater Images
Underwater stereo-video technology systems are used widely for measurement of fish. However the effectiveness of the stereo-video measurement has been limited because most operational systems still rely on a human operator. In this paper, an automated approach for fish detection using a shape-based...
| Main Authors: | , , , , , |
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| Format: | Conference Paper |
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CEUR Workshop Proceedings
2014
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| Subjects: | |
| Online Access: | http://ceur-ws.org/Vol-1307/paper6.pdf http://hdl.handle.net/20.500.11937/25769 |
| _version_ | 1848751800306368512 |
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| author | Ravanbakhsh, M. Shortis, M. Shaifat, F. Mian, A. Harvey, Euan Seager, J. |
| author2 | Colin Arrowsmith |
| author_facet | Colin Arrowsmith Ravanbakhsh, M. Shortis, M. Shaifat, F. Mian, A. Harvey, Euan Seager, J. |
| author_sort | Ravanbakhsh, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Underwater stereo-video technology systems are used widely for measurement of fish. However the effectiveness of the stereo-video measurement has been limited because most operational systems still rely on a human operator. In this paper, an automated approach for fish detection using a shape-based level sets framework is presented. Shape knowledge of fish is modelled by Principal Component Analysis (PCA). The Haar classifier is used for precise position of the fish head and snout in the image, which is vital information for close proximity initialisation of the shape model. The approach has been tested on under-water images representing a variety of challenging situations typical of the underwater environment, such as background interference and poor contrast boundaries. The results obtained demonstrate that the approach is capable ofovercoming these limitations and capturing the fish outline at sub-pixel accuracy. |
| first_indexed | 2025-11-14T07:58:29Z |
| format | Conference Paper |
| id | curtin-20.500.11937-25769 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:58:29Z |
| publishDate | 2014 |
| publisher | CEUR Workshop Proceedings |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-257692023-02-27T07:34:30Z An Application of Shape-Based Level Sets to Fish Detection in Underwater Images Ravanbakhsh, M. Shortis, M. Shaifat, F. Mian, A. Harvey, Euan Seager, J. Colin Arrowsmith Chris Bellman William Cartwright Mark Shortis under-water image fish detection registration prior shape knowledge level sets image segmentation Underwater stereo-video technology systems are used widely for measurement of fish. However the effectiveness of the stereo-video measurement has been limited because most operational systems still rely on a human operator. In this paper, an automated approach for fish detection using a shape-based level sets framework is presented. Shape knowledge of fish is modelled by Principal Component Analysis (PCA). The Haar classifier is used for precise position of the fish head and snout in the image, which is vital information for close proximity initialisation of the shape model. The approach has been tested on under-water images representing a variety of challenging situations typical of the underwater environment, such as background interference and poor contrast boundaries. The results obtained demonstrate that the approach is capable ofovercoming these limitations and capturing the fish outline at sub-pixel accuracy. 2014 Conference Paper http://hdl.handle.net/20.500.11937/25769 http://ceur-ws.org/Vol-1307/paper6.pdf CEUR Workshop Proceedings restricted |
| spellingShingle | under-water image fish detection registration prior shape knowledge level sets image segmentation Ravanbakhsh, M. Shortis, M. Shaifat, F. Mian, A. Harvey, Euan Seager, J. An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title | An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title_full | An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title_fullStr | An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title_full_unstemmed | An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title_short | An Application of Shape-Based Level Sets to Fish Detection in Underwater Images |
| title_sort | application of shape-based level sets to fish detection in underwater images |
| topic | under-water image fish detection registration prior shape knowledge level sets image segmentation |
| url | http://ceur-ws.org/Vol-1307/paper6.pdf http://hdl.handle.net/20.500.11937/25769 |