title: Computer vision-based analysis of foods: a non-destructive colour measurement tool to monitor quality and safety.
abstract: Computer vision-based image analysis has been widely used in food industry to monitor food quality. It allows low-cost and non-contact measurements of colour to be performed. In this paper, two computer vision-based image analysis approaches are discussed to extract mean colour or featured colour information from the digital images of foods. These types of information may be of particular importance as colour indicates certain chemical changes or physical properties in foods. As exemplified here, the mean CIE a* value or browning ratio determined by means of computer vision-based image analysis algorithms can be correlated with acrylamide content of potato chips or cookies. Or, porosity index as an important physical property of breadcrumb can be calculated easily. In this respect, computer vision-based image analysis provides a useful tool for automatic inspection of food products in a manufacturing line, and it can be actively involved in the decision-making process where rapid quality/safety evaluation is needed.
authors.affiliation: Department of Food Engineering, Hacettepe University, 06800, Beytepe, Ankara, Turkey.
authors.forename: Burçe Ataç
authors.initials: BA
authors.lastname: Mogol
authors.forename: Vural
authors.initials: V
authors.lastname: Gökmen
mesh_terms: D020106:Acrylamide / Q000032:analysis; D000465:Algorithms; D002273:Carcinogens / Q000032:analysis; D057140:Fast Foods / Q000032:analysis / Q000191:economics; D005506:Food Contamination / Q000191:economics; D005513:Food Inspection / Q000191:economics / Q000295:instrumentation*; D063427:Food Quality; D005525:Food-Processing Industry / Q000191:economics / Q000379:methods / Q000639:trends; D007090:Image Interpretation, Computer-Assisted; D007091:Image Processing, Computer-Assisted / Q000191:economics / Q000295:instrumentation*; D015416:Maillard Reaction; D016062:Porosity; D011786:Quality Control
chemical_list: D002273:Carcinogens; D020106:Acrylamide
keywords: colour measurement; computer vision-based image analysis; food quality and safety; mean and featured information; segmentation