Journal
FOOD SCIENCE AND TECHNOLOGY
Volume 36, Issue 3, Pages 499-504Publisher
SOC BRASILEIRA CIENCIA TECNOLOGIA ALIMENTOS
DOI: 10.1590/1678-457X.02616
Keywords
computer vision system; food; RGB; L* a* b*
Categories
Funding
- Gebze Technical University [2014 A-25]
- Scientific and Technological Research Council of Turkey (TUBITAK) [2211-C]
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The colour of food is one of the most important factors affecting consumers' purchasing decision. Although there are many colour spaces, the most widely used colour space in the food industry is L*a*b* colour space. Conventionally, the colour of foods is analysed with a colorimeter that measures small and non-representative areas of the food and the measurements usually vary depending on the point where the measurement is taken. This leads to the development of alternative colour analysis techniques. In this work, a simple and alternative method to measure the colour of foods known as computer vision system is presented and justified. With the aid of the computer vision system, foods that are homogenous and uniform in colour and shape could be classified with regard to their colours in a fast, inexpensive and simple way. This system could also be used to distinguish the defectives from the non-defectives. Quality parameters of meat and dairy products could be monitored without any physical contact, which causes contamination during sampling.
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