Prediction of Oyster Volume and Weight Using Machine Vision

Fifty oysters each from Florida, Texas, and Alaska were used to develop methods that predict overall volume and weight, and meat volume and weight. Volumes (overall, shell, meat) were measured experimentally by the Archimedes principle. Densities were calculated. Using a machine vision system, the t...

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Bibliographic Details
Published in:Journal of aquatic food product technology 2007-01, Vol.15 (4), p.3-15
Main Authors: Damar, S., Yagiz, Y., Balaban, M. O., Ural, S., Oliveira, A. C. M., Crapo, C. A.
Format: Article
Language:English
Subjects:
machine vision
Oysters
view area
volume prediction
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Summary:Fifty oysters each from Florida, Texas, and Alaska were used to develop methods that predict overall volume and weight, and meat volume and weight. Volumes (overall, shell, meat) were measured experimentally by the Archimedes principle. Densities were calculated. Using a machine vision system, the top- and side-view areas of whole oysters were determined. Various simple functions were fit to the view area data to predict whole oyster volume and weight, and meat volume and weight. A new cubic spline method was also developed to predict oyster volumes. The r 2 values for the predicted oyster volumes were Texas = 0.92, Florida = 0.85, and Alaska = 0.64.
ISSN:1049-8850
1547-0636
DOI:10.1300/J030v15n04_02