Determination of Volume of Alaska Pollock (theragra Chalcogramma) by Image Analysis
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
Taylor and Francis Ltd.
Open Access Color
BRONZE
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The objective of this study was to develop two methods to predict the volume of whole Alaska pollock and to compare the results with the experimentally measured volumes. One hundred fifty-five whole pollock, obtained from a Kodiak processor, were individually immersed in a graduated cylinder equipped with an outflow tube to catch the displaced water as a result of immersion. The weight of the water was recorded. Then the fish were placed in a light box equipped with a digital video camera, and the side view and top view recorded (2 images for each fish). A reference square of known surface area was placed by the fish. A cubic spline method to predict volume by integration of cross-sectional area slices based on the top and side views and an empirical equation using dimensional (length L, width W, depth D) measurements at three locations of the fish image were developed. The R 2 value for the correlation between the L × W × D versus measured volume was 0.987. The best R 2 for the correlation of the predicted volume by the cubic spline method versus the measured volume was 0.99. Image analysis can be used reliably to predict the volume of whole Alaska pollock. © Taylor & Francis Group, LLC.
Description
Keywords
Forecasting, Alaska pollock, Cubic splines, Volume prediction, Image analysis, Cubic splines, Volume prediction, Alaska pollock, Forecasting, Image analysis
Fields of Science
0301 basic medicine, 0303 health sciences, 03 medical and health sciences
Citation
Balaban, M. Ö., Chombeau, M., Gümüş, B., and Cırban, D. (2011). Determination of volume of alaska pollock (Theragra chalcogramma) by image analysis. Journal of Aquatic Food Product Technology, 20(1), 45-52. doi:10.1080/10498850.2010.531996
WoS Q
Q4
Scopus Q
Q2

OpenCitations Citation Count
7
Source
Journal of Aquatic Food Product Technology
Volume
20
Issue
1
Start Page
45
End Page
52
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Citations
CrossRef : 5
Scopus : 10
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Mendeley Readers : 9
SCOPUS™ Citations
10
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Web of Science™ Citations
6
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Page Views
607
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Downloads
573
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