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Pregled bibliografske jedinice broj: 1101197

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


Lukinac, Jasmina; Koceva Komlenić, Daliborka; Nakov, Gjore; Vasileva, Nastia; Jukić, Marko
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

Poveznice na cjeloviti tekst rada:

conf.uni-ruse.bg

Citiraj ovu publikaciju:

Lukinac, Jasmina; Koceva Komlenić, Daliborka; Nakov, Gjore; Vasileva, Nastia; Jukić, Marko
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)
Lukinac, J., Koceva Komlenić, D., Nakov, G., Vasileva, N. & Jukić, M. (2020) Computer Vision Application in the Quality Evaluation of Cereal-Based Products. U: 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.
@article{article, author = {Lukinac, Jasmina and Koceva Komleni\'{c}, Daliborka and Nakov, Gjore and Vasileva, Nastia and Juki\'{c}, Marko}, year = {2020}, pages = {165-173}, keywords = {Non-Destructive Methods, Image Analysis, Computer Vision, Cereal-based Products, Physical Properties}, isbn = {978-954-712-826-2}, title = {Computer Vision Application in the Quality Evaluation of Cereal-Based Products}, keyword = {Non-Destructive Methods, Image Analysis, Computer Vision, Cereal-based Products, Physical Properties}, publisher = {University of Ruse Publishing Center}, publisherplace = {Razgrad, Bugarska; Silistra, Bugarska; Ruse, Bugarska} }
@article{article, author = {Lukinac, Jasmina and Koceva Komleni\'{c}, Daliborka and Nakov, Gjore and Vasileva, Nastia and Juki\'{c}, Marko}, year = {2020}, pages = {165-173}, keywords = {Non-Destructive Methods, Image Analysis, Computer Vision, Cereal-based Products, Physical Properties}, isbn = {978-954-712-826-2}, title = {Computer Vision Application in the Quality Evaluation of Cereal-Based Products}, keyword = {Non-Destructive Methods, Image Analysis, Computer Vision, Cereal-based Products, Physical Properties}, publisher = {University of Ruse Publishing Center}, publisherplace = {Razgrad, Bugarska; Silistra, Bugarska; Ruse, Bugarska} }




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