Autors: Lukinac J., Koceva Komlenić D., Nakov, G. N., Ivanova, N. V., Jukić M.
Title: COMPUTER VISION APPLICATION IN THE QUALITY EVALUATION OF CEREAL-BASED PRODUCTS
Keywords: Non-Destructive Methods, Image Analysis, Computer Vision, Ce

Abstract: 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.

References

    Issue

    , pp. 165-173, 2020, Bulgaria, University of Ruse, ISBN 978-954-712-826-2

    Full text of the publication

    Вид: пленарен доклад в международен форум, публикация в реферирано издание