The ability of a computer vision system (CVS) to evaluate game meat color was investigated by a comparison study with color measurements from a traditional colorimeter. The experiment involved five different species: quail, wild boar, rabbit, deer and pheasant. The total color difference (AEI between the methods employed was so great that the generated color's) could be considered more opposite then similar. Positive correlation was observed between the calculated total color differences and differences ranked by the panelists. The CVS-generated color chips were more similar to the sample of the game meat visualized on the monitor, compared to colorimeter-generated color chips in all (100%) individual trials performed. Using colorimeter for color evaluation of lighter colored game meat was unrepresentative. CVS-generated colors were found moderately to highly similar to the actual color of all samples evaluated. Therefore, the use of a CVS should be considered a superior alternative to... the traditional method for measuring color of game meat.
Keywords:
Color / Game meat / Computer vision / Colorimeter / Image analysis
TY - JOUR
AU - Tomašević, Igor
AU - Tomović, Vladimir
AU - Barba, Francisco J.
AU - Vasilev, Dragan
AU - Jokanović, Marija
AU - Šojić, Branislav
AU - Lorenzo, José M.
AU - Đekić, Ilija
PY - 2019
UR - http://aspace.agrif.bg.ac.rs/handle/123456789/5051
AB - The ability of a computer vision system (CVS) to evaluate game meat color was investigated by a comparison study with color measurements from a traditional colorimeter. The experiment involved five different species: quail, wild boar, rabbit, deer and pheasant. The total color difference (AEI between the methods employed was so great that the generated color's) could be considered more opposite then similar. Positive correlation was observed between the calculated total color differences and differences ranked by the panelists. The CVS-generated color chips were more similar to the sample of the game meat visualized on the monitor, compared to colorimeter-generated color chips in all (100%) individual trials performed. Using colorimeter for color evaluation of lighter colored game meat was unrepresentative. CVS-generated colors were found moderately to highly similar to the actual color of all samples evaluated. Therefore, the use of a CVS should be considered a superior alternative to the traditional method for measuring color of game meat.
PB - Deutscher Fachverlag Gmbh, Frankfurt Main
T2 - Fleischwirtschaft
T1 - How the color of game meat should be measured
EP - 89
IS - 1
SP - 85
VL - 99
UR - https://hdl.handle.net/21.15107/rcub_agrospace_5051
ER -
@article{
author = "Tomašević, Igor and Tomović, Vladimir and Barba, Francisco J. and Vasilev, Dragan and Jokanović, Marija and Šojić, Branislav and Lorenzo, José M. and Đekić, Ilija",
year = "2019",
abstract = "The ability of a computer vision system (CVS) to evaluate game meat color was investigated by a comparison study with color measurements from a traditional colorimeter. The experiment involved five different species: quail, wild boar, rabbit, deer and pheasant. The total color difference (AEI between the methods employed was so great that the generated color's) could be considered more opposite then similar. Positive correlation was observed between the calculated total color differences and differences ranked by the panelists. The CVS-generated color chips were more similar to the sample of the game meat visualized on the monitor, compared to colorimeter-generated color chips in all (100%) individual trials performed. Using colorimeter for color evaluation of lighter colored game meat was unrepresentative. CVS-generated colors were found moderately to highly similar to the actual color of all samples evaluated. Therefore, the use of a CVS should be considered a superior alternative to the traditional method for measuring color of game meat.",
publisher = "Deutscher Fachverlag Gmbh, Frankfurt Main",
journal = "Fleischwirtschaft",
title = "How the color of game meat should be measured",
pages = "89-85",
number = "1",
volume = "99",
url = "https://hdl.handle.net/21.15107/rcub_agrospace_5051"
}
Tomašević, I., Tomović, V., Barba, F. J., Vasilev, D., Jokanović, M., Šojić, B., Lorenzo, J. M.,& Đekić, I.. (2019). How the color of game meat should be measured. in Fleischwirtschaft
Deutscher Fachverlag Gmbh, Frankfurt Main., 99(1), 85-89.
https://hdl.handle.net/21.15107/rcub_agrospace_5051
Tomašević I, Tomović V, Barba FJ, Vasilev D, Jokanović M, Šojić B, Lorenzo JM, Đekić I. How the color of game meat should be measured. in Fleischwirtschaft. 2019;99(1):85-89.
https://hdl.handle.net/21.15107/rcub_agrospace_5051 .
Tomašević, Igor, Tomović, Vladimir, Barba, Francisco J., Vasilev, Dragan, Jokanović, Marija, Šojić, Branislav, Lorenzo, José M., Đekić, Ilija, "How the color of game meat should be measured" in Fleischwirtschaft, 99, no. 1 (2019):85-89,
https://hdl.handle.net/21.15107/rcub_agrospace_5051 .
