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

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Publicly Funded

No
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Average
Influence
Average
Popularity
Average

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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
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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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