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Computer vision system approach in colour measurements of foods: Part II. validation of methodology with real foods Ciênc. Tecnol. Aliment.
TARLAK,Fatih; OZDEMİR,Murat; MELİKOGLU,Mehmet.
Abstract 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...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Computer vision system; Food; RGB; L*a*b*.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612016000300499
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Computer vision system approach in colour measurements of foods: Part I. development of methodology Ciênc. Tecnol. Aliment.
TARLAK,Fatih; OZDEMİR,Murat; MELİKOGLU,Mehmet.
Abstract The colour assessment ability of the computer vision system is investigated and the data are compared with colour measurements taken by a conventional colorimeter. Linear and quadratic models are built to improve currently used methodology for the conversion of RGB colour units to L * a * b * colour space. For this purpose, two innovative ideas are proposed and tested. First, substantial amount of colour tones is generated to cover as many points in the colour space as possible. Secondly, the colour space is calibrated separately, whereas in previous research in the literature, the colour space is calibrated simultaneously. It is found that the RGB colour units to L * a * b * colour space transformation approach proposed in this study...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Colour; Computer vision system; Colorimeter; RGB; L* a* b*.
Ano: 2016 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612016000200382
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