6533b823fe1ef96bd127e1ba
RESEARCH PRODUCT
Colour assessment of milk and milk products using computer vision system and colorimeter
Bartosz SołowiejFrancisco J. BarbaVladimir TomovićJelena MiocinovicJosé M. LorenzoIlija DjekicIgor TomasevicBojana Milovanovicsubject
business.industryColorimeter0402 animal and dairy science04 agricultural and veterinary sciences040401 food science040201 dairy & animal scienceApplied Microbiology and Biotechnology0404 agricultural biotechnologyMilk productsComputer visionArtificial intelligencebusinessFood ScienceSimilarity testMathematicsdescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-09-01 | International Dairy Journal |