prikaz prve stranice dokumenta Quality inspection of cookies using computer vision
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Scientific paper - Original scientific paper
Quality inspection of cookies using computer vision
In: Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists. / Jukić, Marko; Koceva Komlenić, Daliborka (Ed.). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, 2014. pp. 182-187. urn:nbn:hr:109:576464
Čačić, Frane; Lukinac, Jasmina; Budžaki, Sandra; Koceva Komlenić, Daliborka

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Flour - Bread '13 : Proceedings of the 7th International Congress Flour - Bread '13 and 9th Croatian Congress of Cereal Technologists | Book
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Čačić, F., Lukinac, J., Budžaki, S. & Koceva Komlenić, D. (2014). Quality inspection of cookies using computer vision. In M. Jukić, (Ed.), D. Koceva Komlenić, (Ed.), Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists (pp. 182-187). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:109:576464

Čačić, Frane, et al. "Quality inspection of cookies using computer vision." Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists, edited by Marko Jukić, edited by Daliborka Koceva Komlenić, Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, 2014, pp. 182-187. https://urn.nsk.hr/urn:nbn:hr:109:576464

Čačić, Frane, Jasmina Lukinac, Sandra Budžaki and Daliborka Koceva Komlenić. "Quality inspection of cookies using computer vision." In Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists, 182-187. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, 2014. Accessed 2024 April 19. https://urn.nsk.hr/urn:nbn:hr:109:576464

Čačić, F., et al. (2014) 'Quality inspection of cookies using computer vision', in Jukić, M. (ed.), Koceva Komlenić, D. (ed.), Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists, Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, Osijek, pp. 182-187. Available at: https://urn.nsk.hr/urn:nbn:hr:109:576464 (Accessed 19 April 2024)

Čačić F, Lukinac J, Budžaki S, Koceva Komlenić D. Quality inspection of cookies using computer vision. In: M. Jukić, ed., D. Koceva Komlenić, ed. Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek; 2014. Pp. 182-187. [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:109:576464

F. Čačić, J. Lukinac, S. Budžaki and D. Koceva Komlenić, "Quality inspection of cookies using computer vision", Proceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists, M. Jukić and D. Koceva Komlenić, Eds. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek, 2014. [Online] Available at: https://urn.nsk.hr/urn:nbn:hr:109:576464 [Accessed: 19 April 2024]

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Metadata
Title (english)Quality inspection of cookies using computer vision
AuthorFrane Čačić
AuthorJasmina Lukinac
AuthorSandra Budžaki
AuthorDaliborka Koceva Komlenić
EditorMarko Jukić
EditorDaliborka Koceva Komlenić
Author's institutionJosip Juraj Strossmayer University of Osijek
FACULTY OF FOOD TECHNOLOGY
Scientific / art field,
discipline and subdiscipline		BIOTECHNICAL SCIENCES
Food Technology
Abstract (english)
Product appearance plays a vital role in making a purchase decision. Colour, size and shape are significant factors that influence purchase decision of bakery products. Food shape is often closely regarded as its quality. Broken or deformed product may taste the same as an undamaged ones, but customers are reluctant to buy seemingly damaged goods. Due to the demands of high quality foods, automated food shape inspection has become an important need for the food industry. Computer vision provides one alternative for an automated, non-destructive and cost-effective technique to accomplish these requirements. Features such as the internal and external appearance contribute to the overall impression of the products quality. Consequently such characteristics have been evaluated by computer vision. The objective of this paper is to summarize and evaluate shape descriptors which can be used as indicators for quality of final product, and also as additional parameter for estimating end of baking process.
Keywords (english)
Languageenglish
Publication typeScientific paper - Original scientific paper
Publication statusPublished
Peer reviewPeer review - international
Publication versionPublished version
Publication titleProceedings of the 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists
Series titleFlour - Bread
Numberingpp. 182-187
p-ISSN1848-2562
URN:NBNurn:nbn:hr:109:576464
Publication2014
ConferenceTitle: 7th International Congress Flour - Bread '13 [and] 9th Croatian Congress of Cereal Technologists
Acronym: Flour - Bread
Location: Opatija, Croatia
Start date: 2013-10-16
End date: 2013-10-18
Assembly type: Poster
Type of resourceText
PublisherJosip Juraj Strossmayer University of Osijek, Faculty of Food Technology Osijek
Publishing placeOsijek
Access conditionsOpen access
Terms of useLicence Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) icon
Created on2021-01-08 10:14:35