An efficient protocol and data set for automated otolith image analysis
Abstract Information on fish age constitutes one of the most important biological variables for a fish stock, and an accurate estimation of the age structure of the fish populations is essential for the reliable management of these natural resources. The age of individual cod ( Gadus morhua ) is det...
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crwiley:10.1002/gdj3.86 2024-04-28T08:05:28+00:00 An efficient protocol and data set for automated otolith image analysis Myers, Savannah Carolyn Thorsen, Anders Smoliński, Szymon Aanestad Godiksen, Jane Malde, Ketil Handegard, Nils Olav Norges Forskningsråd 2020 http://dx.doi.org/10.1002/gdj3.86 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgdj3.86 https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.86 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/gdj3.86 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.86 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Geoscience Data Journal volume 7, issue 1, page 80-88 ISSN 2049-6060 2049-6060 General Earth and Planetary Sciences journal-article 2020 crwiley https://doi.org/10.1002/gdj3.86 2024-04-08T06:49:17Z Abstract Information on fish age constitutes one of the most important biological variables for a fish stock, and an accurate estimation of the age structure of the fish populations is essential for the reliable management of these natural resources. The age of individual cod ( Gadus morhua ) is determined by manually examining the layered structure of otoliths, a calcium carbonate structure of the inner ear. Image‐based methods to age otoliths have been investigated for over 4 decades with varying results, but recent developments in automatic image analysis techniques are promising. The objective of this paper is to describe a method to efficiently image a manually broken otolith (avoiding the time‐consuming embedding and cross‐sectioning process) and to describe the organization and acquisition of imaged broken otolith images with associated metadata for a collection of north‐east Arctic cod otoliths. A single‐lens reflex camera was used for capturing photographs of the broken otoliths. A total of six images were acquired for each subject, consisting of three images in the first position with three different light exposures and three images in the second position with three different light exposures. This results in a simple and efficient procedure for capturing clear, satisfactory, and reproducible images of broken fish otoliths, and a more straightforward and less labour‐intensive alternative to the commonly used methods that involve embedding and cross‐sectioning of the otolith. Article in Journal/Newspaper Arctic cod Arctic Gadus morhua Wiley Online Library Geoscience Data Journal 7 1 80 88 |
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Wiley Online Library |
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crwiley |
language |
English |
topic |
General Earth and Planetary Sciences |
spellingShingle |
General Earth and Planetary Sciences Myers, Savannah Carolyn Thorsen, Anders Smoliński, Szymon Aanestad Godiksen, Jane Malde, Ketil Handegard, Nils Olav An efficient protocol and data set for automated otolith image analysis |
topic_facet |
General Earth and Planetary Sciences |
description |
Abstract Information on fish age constitutes one of the most important biological variables for a fish stock, and an accurate estimation of the age structure of the fish populations is essential for the reliable management of these natural resources. The age of individual cod ( Gadus morhua ) is determined by manually examining the layered structure of otoliths, a calcium carbonate structure of the inner ear. Image‐based methods to age otoliths have been investigated for over 4 decades with varying results, but recent developments in automatic image analysis techniques are promising. The objective of this paper is to describe a method to efficiently image a manually broken otolith (avoiding the time‐consuming embedding and cross‐sectioning process) and to describe the organization and acquisition of imaged broken otolith images with associated metadata for a collection of north‐east Arctic cod otoliths. A single‐lens reflex camera was used for capturing photographs of the broken otoliths. A total of six images were acquired for each subject, consisting of three images in the first position with three different light exposures and three images in the second position with three different light exposures. This results in a simple and efficient procedure for capturing clear, satisfactory, and reproducible images of broken fish otoliths, and a more straightforward and less labour‐intensive alternative to the commonly used methods that involve embedding and cross‐sectioning of the otolith. |
author2 |
Norges Forskningsråd |
format |
Article in Journal/Newspaper |
author |
Myers, Savannah Carolyn Thorsen, Anders Smoliński, Szymon Aanestad Godiksen, Jane Malde, Ketil Handegard, Nils Olav |
author_facet |
Myers, Savannah Carolyn Thorsen, Anders Smoliński, Szymon Aanestad Godiksen, Jane Malde, Ketil Handegard, Nils Olav |
author_sort |
Myers, Savannah Carolyn |
title |
An efficient protocol and data set for automated otolith image analysis |
title_short |
An efficient protocol and data set for automated otolith image analysis |
title_full |
An efficient protocol and data set for automated otolith image analysis |
title_fullStr |
An efficient protocol and data set for automated otolith image analysis |
title_full_unstemmed |
An efficient protocol and data set for automated otolith image analysis |
title_sort |
efficient protocol and data set for automated otolith image analysis |
publisher |
Wiley |
publishDate |
2020 |
url |
http://dx.doi.org/10.1002/gdj3.86 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fgdj3.86 https://onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.86 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/gdj3.86 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/gdj3.86 |
genre |
Arctic cod Arctic Gadus morhua |
genre_facet |
Arctic cod Arctic Gadus morhua |
op_source |
Geoscience Data Journal volume 7, issue 1, page 80-88 ISSN 2049-6060 2049-6060 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1002/gdj3.86 |
container_title |
Geoscience Data Journal |
container_volume |
7 |
container_issue |
1 |
container_start_page |
80 |
op_container_end_page |
88 |
_version_ |
1797575488904888320 |