engleski

Computer Vision Application in the Quality Evaluation of Cereal-Based Products

Humans conduct the visual inspection and quality control of many bakery products relying on the use of the sense of sight. Human inspection is a slow process, has poor repeatability and result varies from person to person. Computer vision system (CVS) is becoming one of the most important non- destructive, rapid, economic, consistent and objective inspection and evaluation technique in the food industry. This inspection approach is based on image analysis and processing of many products from food industry for objective evaluation of quality parameters. Its speed and accuracy satisfy ever- increasing production and quality requirements, and offers the potential to automate manual grading practices thus standardizing techniques and eliminating tedious human inspection tasks. This paper is dealing with CVS application for quality inspection of the cereal-based product. This method is applied for the inspection and grading of cereal-based products based on shape, size, colour and internal structure. According to the obtained results, CVS can be successfully adopted for the quality analysis of many cereal- based products such as bread, cookies, crackers, pizzas, etc. Furthermore, the CVS method proved to be successful for examination of the wheat grain quality.

Non-Destructive Methods ; Image Analysis ; Computer Vision ; Cereal-based Products ; Physical Properties

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