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A Simple Method for Weight Estimation of Whole Herring ( Clupea harengus ) Using Planar X‐Ray Imaging
Author(s) -
Veliyulin Emil,
Misimi Ekrem,
Bondø Morten,
Vebenstad Petter Aaby,
Østvik Stein Ove
Publication year - 2011
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/j.1750-3841.2011.02093.x
Subject(s) - clupea , herring , sorting , planar , fish <actinopterygii> , mathematics , line (geometry) , computer science , fishery , algorithm , biology , geometry , computer graphics (images)
Fish weight is one of the key parameters used in commercial sorting of fresh fish. The capability of on‐line and accurate estimation of the weight of each individual fish has a direct impact on profitability for the fish processors. Planar X‐ray images of whole herring ( n = 16) were taken using a commercial medical X‐ray apparatus. The integral intensity of all pixels in each image was calculated and correlated with the weight of the respective fish producing a linear relationship with a high correlation factor ( R 2 = 0.992) and a calculated mean prediction error of 2.5%. Planar X‐ray imaging combined with simple image processing was successfully used to predict weight of whole herring. The technique has a potential to be used industrially for on‐line weight estimation in sorting/grading systems.