Pregled bibliografske jedinice broj: 1101197
Computer Vision Application in the Quality Evaluation of Cereal-Based Products
Computer Vision Application in the Quality Evaluation of Cereal-Based Products // Reports Awarded with "Best Paper" Crystal Prize ; 59th Annual scientific conference of University of Ruse and Union of Scientists: New industries, digital economy, society - projections of the future III
Ruse: University of Ruse Publishing Center, 2020. str. 165-173 (plenarno, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1101197 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Computer Vision Application in the Quality
Evaluation of Cereal-Based Products
Autori
Lukinac, Jasmina ; Koceva Komlenić, Daliborka ; Nakov, Gjore ; Vasileva, Nastia ; Jukić, Marko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Reports Awarded with "Best Paper" Crystal Prize ; 59th Annual scientific conference of University of Ruse and Union of Scientists: New industries, digital economy, society - projections of the future III
/ - Ruse : University of Ruse Publishing Center, 2020, 165-173
ISBN
978-954-712-826-2
Skup
59th Annual Scientific Conference of University of Ruse and Union of Scientists "New Industries, Digital Economy, Society - Projections of the Future III"
Mjesto i datum
Razgrad, Bugarska; Silistra, Bugarska; Ruse, Bugarska, 06.11.2020. - 07.11.2020
Vrsta sudjelovanja
Plenarno
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Non-Destructive Methods ; Image Analysis ; Computer Vision ; Cereal-based Products ; Physical Properties
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Poljoprivreda (agronomija), Prehrambena tehnologija, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Prehrambeno-tehnološki fakultet, Osijek