TY  - JOUR
AU  - Milovanović, Bojana
AU  - Tomović, Vladimir
AU  - Đekić, Ilija
AU  - Miočinović, Jelena
AU  - Solowiej, Bartosz G.
AU  - Lorenzo, José M.
AU  - Barba, Francisco J.
AU  - Tomašević, Igor
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5850
AB  - A computer vision system (CVS) and a colorimeter were compared for their abilities to measure the colour of twenty-seven different milks and milk products. The frequency of similarity test showed that CVS-generated colour chips were similar to the actual sample colour in all trials (100%). The CVS-obtained colours were found to be more similar to the colour of sample visualised on the monitor, compared with colorimeter-generated colour chips, with values of 83.3–100.0% depending on the milk product. The third test showed that there was difference between colour measured by CVS and the colorimeter; colorimeter readings resulted in a darker and yellower colour based on average L∗a∗b∗ values, while CVS readings resulted in lighter and less yellow appearance. Compared with a colorimeter, measuring colour by CVS was, therefore, found to be reliable and should be considered as a superior tool for replacing traditional devices by offering improved representativeness and accuracy.
PB  - Elsevier Ltd
T2  - International Dairy Journal
T1  - Colour assessment of milk and milk products using computer vision system and colorimeter
SP  - 105084
VL  - 120
DO  - 10.1016/j.idairyj.2021.105084
ER  - 

@article{
author = "Milovanović, Bojana and Tomović, Vladimir and Đekić, Ilija and Miočinović, Jelena and Solowiej, Bartosz G. and Lorenzo, José M. and Barba, Francisco J. and Tomašević, Igor",
year = "2021",
abstract = "A computer vision system (CVS) and a colorimeter were compared for their abilities to measure the colour of twenty-seven different milks and milk products. The frequency of similarity test showed that CVS-generated colour chips were similar to the actual sample colour in all trials (100%). The CVS-obtained colours were found to be more similar to the colour of sample visualised on the monitor, compared with colorimeter-generated colour chips, with values of 83.3–100.0% depending on the milk product. The third test showed that there was difference between colour measured by CVS and the colorimeter; colorimeter readings resulted in a darker and yellower colour based on average L∗a∗b∗ values, while CVS readings resulted in lighter and less yellow appearance. Compared with a colorimeter, measuring colour by CVS was, therefore, found to be reliable and should be considered as a superior tool for replacing traditional devices by offering improved representativeness and accuracy.",
publisher = "Elsevier Ltd",
journal = "International Dairy Journal",
title = "Colour assessment of milk and milk products using computer vision system and colorimeter",
pages = "105084",
volume = "120",
doi = "10.1016/j.idairyj.2021.105084"
}

Milovanović, B., Tomović, V., Đekić, I., Miočinović, J., Solowiej, B. G., Lorenzo, J. M., Barba, F. J.,& Tomašević, I.. (2021). Colour assessment of milk and milk products using computer vision system and colorimeter. in International Dairy Journal
Elsevier Ltd., 120, 105084.
https://doi.org/10.1016/j.idairyj.2021.105084

Milovanović B, Tomović V, Đekić I, Miočinović J, Solowiej BG, Lorenzo JM, Barba FJ, Tomašević I. Colour assessment of milk and milk products using computer vision system and colorimeter. in International Dairy Journal. 2021;120:105084.
doi:10.1016/j.idairyj.2021.105084 .

Milovanović, Bojana, Tomović, Vladimir, Đekić, Ilija, Miočinović, Jelena, Solowiej, Bartosz G., Lorenzo, José M., Barba, Francisco J., Tomašević, Igor, "Colour assessment of milk and milk products using computer vision system and colorimeter" in International Dairy Journal, 120 (2021):105084,
https://doi.org/10.1016/j.idairyj.2021.105084 . .

TY  - JOUR
AU  - Milovanović, Bojana
AU  - Tomović, Vladimir
AU  - Đekić, Ilija
AU  - Solowiej, Bartosz G.
AU  - Lorenzo, José M.
AU  - Barba, Francisco J.
AU  - Tomašević, Igor
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5914
AB  - The scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.
PB  - Springer
T2  - Journal of Food Measurement and Characterization
T1  - Color assessment of the eggs using computer vision system and Minolta colorimeter
DO  - 10.1007/s11694-021-01085-4
ER  - 

@article{
author = "Milovanović, Bojana and Tomović, Vladimir and Đekić, Ilija and Solowiej, Bartosz G. and Lorenzo, José M. and Barba, Francisco J. and Tomašević, Igor",
year = "2021",
abstract = "The scientific journal articles (n = 150) were examined to obtain instrumental egg color data published in the period 2009–2020. The majority of articles originated from Asia (42.0%), investigated yolk color (45.3%), selected Minolta device (65.3%). The greatest part of papers failed to include parameters such as port size (92.0%), observer (90.0%), illuminant (84.0%), technical replicates (70.0%) and calibration method (66.7%), and, therefore, this represents a key matter in conducting comparative research to ensure equivalence in order to trace and compare different research data. Furthermore, the usage of a computer vision system (CVS) for egg color analysis was investigated. The color of five egg species (chicken, goose, duck, quail and turkey) was estimated using a CVS and a traditional colorimeter. The CVS-produced color was highly similar to the actual color of egg sample (ranging from 75.0 to 100.0%). The color of eggshell gathered through the Minolta depicts brighter, less “red” and more “yellow” appearance than CVS. Regarding the color of yolk samples, Minolta had lighter (except the goose's yolk), more “green” and less “yellow” color, whereas CVS indicated the appearance of albumen as lighter (except quail's), more “red” and less “yellow” than colorimeter. Those results read by Minolta showed a non-real color of egg samples, whereas CVS-obtained color was highly similar to the actual egg color sample. Considering these results, it could be concluded that the CVS is a superior alternative for replacing traditional devices by providing better accuracy.",
publisher = "Springer",
journal = "Journal of Food Measurement and Characterization",
title = "Color assessment of the eggs using computer vision system and Minolta colorimeter",
doi = "10.1007/s11694-021-01085-4"
}

Milovanović, B., Tomović, V., Đekić, I., Solowiej, B. G., Lorenzo, J. M., Barba, F. J.,& Tomašević, I.. (2021). Color assessment of the eggs using computer vision system and Minolta colorimeter. in Journal of Food Measurement and Characterization
Springer..
https://doi.org/10.1007/s11694-021-01085-4

Milovanović B, Tomović V, Đekić I, Solowiej BG, Lorenzo JM, Barba FJ, Tomašević I. Color assessment of the eggs using computer vision system and Minolta colorimeter. in Journal of Food Measurement and Characterization. 2021;.
doi:10.1007/s11694-021-01085-4 .

Milovanović, Bojana, Tomović, Vladimir, Đekić, Ilija, Solowiej, Bartosz G., Lorenzo, José M., Barba, Francisco J., Tomašević, Igor, "Color assessment of the eggs using computer vision system and Minolta colorimeter" in Journal of Food Measurement and Characterization (2021),
https://doi.org/10.1007/s11694-021-01085-4 . .