Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging
The papers of this thesis are not available in Munin: 1. A. H. Sivertsen, C. Chu, L. Wang, F. Godtliebsen, K. Heia and H. Nilsen: 'Ridge detection with application to automatic fish fillet inspection', Journal of Food Engineering (2009), vol. 90, pp. 317–324. Available at http://dx.doi.org...
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Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
Universitetet i Tromsø
2011
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Subjects: | |
Online Access: | https://hdl.handle.net/10037/3681 |
_version_ | 1829308530701631488 |
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author | Sivertsen, Agnar Holten |
author_facet | Sivertsen, Agnar Holten |
author_sort | Sivertsen, Agnar Holten |
collection | University of Tromsø: Munin Open Research Archive |
description | The papers of this thesis are not available in Munin: 1. A. H. Sivertsen, C. Chu, L. Wang, F. Godtliebsen, K. Heia and H. Nilsen: 'Ridge detection with application to automatic fish fillet inspection', Journal of Food Engineering (2009), vol. 90, pp. 317–324. Available at http://dx.doi.org/10.1016/j.jfoodeng.2008.06.035 2. A. H. Sivertsen, K. Heia, S. K. Stormo, E. Elvevoll and H. Nilsen: 'Automatic nematode detection in cod fillets (Gadus Morhua) by transillumination hyperspectral imaging', Journal of Food Science (2011), vol. 76, pp. 77-83. Available at http://dx.doi.org/10.1111/j.1750-3841.2010.01928.x 3. A. H. Sivertsen, K. Heia, K. Hindberg and F. Godtliebsen: 'Automatic nematode detection in cod fillets (Gadus Morhua L.) by hyperspectral imaging' Journal of Food Science (2011), Volume 76, Issue 1, pages S77–S8. Available at http://dx.doi.org/10.1111/j.1750-3841.2010.01928.x 4. A. H. Sivertsen, T. Kimiya and K. Heia: 'Automatic freshness assessment of cod (Gadus morhua) fillets by VIS/NIR spectroscopy', Journal of Food Engineering (2011), vol 103, pp. 317-323. Available at http://dx.doi.org/10.1016/j.jfoodeng.2010.10.030 The manual trimming and inspection of cod fillets by candling, is considered the bottleneck of cod fillet processing. The operation is both labour intensive and expensive, reported to account for as much as 50 % of the cost with cod fillet production. Due to the high labour costs in Norway, it is of great interest for the industry to optimize this process. In this work a hyperspectral imaging system has been developed, capable of inspecting cod fillets, with or without skin, at a conveyor belt speed of 400 mm/seconds, corresponding to the industrial processing speed of one fish per second. The system is designed as proof of concept, and the algorithms are not implemented to be run in real time. A method for segmenting a cod fillet image into the respective parts: loin, belly and tail, using the centerline as a reference system, has been developed. The method is useful for selecting ... |
format | Doctoral or Postdoctoral Thesis |
genre | Gadus morhua |
genre_facet | Gadus morhua |
geographic | Elvevoll Heia Norway Stormo |
geographic_facet | Elvevoll Heia Norway Stormo |
id | ftunivtroemsoe:oai:munin.uit.no:10037/3681 |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(16.498,16.498,68.582,68.582) ENVELOPE(9.390,9.390,63.655,63.655) ENVELOPE(13.898,13.898,65.696,65.696) |
op_collection_id | ftunivtroemsoe |
op_relation | https://hdl.handle.net/10037/3681 |
op_rights | Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) openAccess Copyright 2011 The Author(s) https://creativecommons.org/licenses/by-nc-sa/3.0 |
publishDate | 2011 |
publisher | Universitetet i Tromsø |
record_format | openpolar |
spelling | ftunivtroemsoe:oai:munin.uit.no:10037/3681 2025-04-13T14:19:11+00:00 Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging Sivertsen, Agnar Holten 2011-11-11 https://hdl.handle.net/10037/3681 eng eng Universitetet i Tromsø University of Tromsø https://hdl.handle.net/10037/3681 Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) openAccess Copyright 2011 The Author(s) https://creativecommons.org/licenses/by-nc-sa/3.0 VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429 VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 Doctoral thesis Doktorgradsavhandling 2011 ftunivtroemsoe 2025-03-14T05:17:55Z The papers of this thesis are not available in Munin: 1. A. H. Sivertsen, C. Chu, L. Wang, F. Godtliebsen, K. Heia and H. Nilsen: 'Ridge detection with application to automatic fish fillet inspection', Journal of Food Engineering (2009), vol. 90, pp. 317–324. Available at http://dx.doi.org/10.1016/j.jfoodeng.2008.06.035 2. A. H. Sivertsen, K. Heia, S. K. Stormo, E. Elvevoll and H. Nilsen: 'Automatic nematode detection in cod fillets (Gadus Morhua) by transillumination hyperspectral imaging', Journal of Food Science (2011), vol. 76, pp. 77-83. Available at http://dx.doi.org/10.1111/j.1750-3841.2010.01928.x 3. A. H. Sivertsen, K. Heia, K. Hindberg and F. Godtliebsen: 'Automatic nematode detection in cod fillets (Gadus Morhua L.) by hyperspectral imaging' Journal of Food Science (2011), Volume 76, Issue 1, pages S77–S8. Available at http://dx.doi.org/10.1111/j.1750-3841.2010.01928.x 4. A. H. Sivertsen, T. Kimiya and K. Heia: 'Automatic freshness assessment of cod (Gadus morhua) fillets by VIS/NIR spectroscopy', Journal of Food Engineering (2011), vol 103, pp. 317-323. Available at http://dx.doi.org/10.1016/j.jfoodeng.2010.10.030 The manual trimming and inspection of cod fillets by candling, is considered the bottleneck of cod fillet processing. The operation is both labour intensive and expensive, reported to account for as much as 50 % of the cost with cod fillet production. Due to the high labour costs in Norway, it is of great interest for the industry to optimize this process. In this work a hyperspectral imaging system has been developed, capable of inspecting cod fillets, with or without skin, at a conveyor belt speed of 400 mm/seconds, corresponding to the industrial processing speed of one fish per second. The system is designed as proof of concept, and the algorithms are not implemented to be run in real time. A method for segmenting a cod fillet image into the respective parts: loin, belly and tail, using the centerline as a reference system, has been developed. The method is useful for selecting ... Doctoral or Postdoctoral Thesis Gadus morhua University of Tromsø: Munin Open Research Archive Elvevoll ENVELOPE(16.498,16.498,68.582,68.582) Heia ENVELOPE(9.390,9.390,63.655,63.655) Norway Stormo ENVELOPE(13.898,13.898,65.696,65.696) |
spellingShingle | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429 VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 Sivertsen, Agnar Holten Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title | Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title_full | Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title_fullStr | Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title_full_unstemmed | Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title_short | Automatic Inspection of Cod (Gadus Morhua L.) Fillets by Hyperspectral Imaging |
title_sort | automatic inspection of cod (gadus morhua l.) fillets by hyperspectral imaging |
topic | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429 VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 |
topic_facet | VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering visualisering signalbehandling bildeanalyse: 429 VDP::Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 |
url | https://hdl.handle.net/10037/3681 |