Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 467123

Quality inspection of cookies using computer vision


Čačić, Frane; Lukinac, Jasmina; Budžaki, Sandra; Koceva Komlenić, Daliborka
Quality inspection of cookies using computer vision // Proceedings of 7th International Congress FLOUR- BREAD '13 9th Croatian Congress of Cereal Technologists / Jukić, Marko ; Koceva Komlenić, Daliborka (ur.).
Osijek: Grafika Osijek, 2014. str. 182-187 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 467123 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Quality inspection of cookies using computer vision

Autori
Čačić, Frane ; Lukinac, Jasmina ; Budžaki, Sandra ; Koceva Komlenić, Daliborka

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of 7th International Congress FLOUR- BREAD '13 9th Croatian Congress of Cereal Technologists / Jukić, Marko ; Koceva Komlenić, Daliborka - Osijek : Grafika Osijek, 2014, 182-187

Skup
7th International Congress FLOUR- BREAD '13 9th Croatian Congress of Cereal Technologists

Mjesto i datum
Opatija, Hrvatska, 16.10.2013. - 18.10.2013

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer vision ; food quality ; shape descriptors

Sažetak
Product appearance plays a vital role making a purchase decision, with colour, size and shape significantly influencing impulse purchases of bakery products. Food material shape is often closely related to its quality. Broken or deformed product may taste the same as an acceptable one, but customers are reluctant to buy seemingly damaged goods. Due to the demands of high quality, 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 goal of this paper is to summarize and evaluate shape descriptors which can be used as indicators of final product, and also as additional parameter for decision an ending of baking process. According to results of size (width and height) and shape deformation of cookies during baking process, computer vision can be applied to inspect shape of final product and in combination with other process parameters better define the end of baking process. We believe that the proposed framework opens up new possibilities in the field of non- destructive, visual inspection of cookies (i.e. inspection texture and colour).

Izvorni jezik
Engleski

Znanstvena područja
Prehrambena tehnologija



POVEZANOST RADA


Projekti:
MZOS-113-1130471-0451 - Prijenos topline i toplinska svojstva pri procesiranju hrane (Šeruga, Bernarda, MZOS ) ( CroRIS)
MZOS-113-1130471-0592 - Nedestruktivne metode u procesima proizvodnje i čuvanja hrane (Magdić, Damir, MZOS ) ( CroRIS)
MZOS-113-1130475-2722 - Unapređenje kakvoće, trajnosti i funkcionalnosti proizvoda na bazi pšenice (Koceva Komlenić, Daliborka, MZOS ) ( CroRIS)

Ustanove:
Prehrambeno-tehnološki fakultet, Osijek

Poveznice na cjeloviti tekst rada:

repozitorij.ptfos.hr urn.nsk.hr

Citiraj ovu publikaciju:

Čačić, Frane; Lukinac, Jasmina; Budžaki, Sandra; Koceva Komlenić, Daliborka
Quality inspection of cookies using computer vision // Proceedings of 7th International Congress FLOUR- BREAD '13 9th Croatian Congress of Cereal Technologists / Jukić, Marko ; Koceva Komlenić, Daliborka (ur.).
Osijek: Grafika Osijek, 2014. str. 182-187 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Čačić, F., Lukinac, J., Budžaki, S. & Koceva Komlenić, D. (2014) Quality inspection of cookies using computer vision. U: Jukić, M. & Koceva Komlenić, D. (ur.)Proceedings of 7th International Congress FLOUR- BREAD '13 9th Croatian Congress of Cereal Technologists.
@article{article, author = {\v{C}a\v{c}i\'{c}, Frane and Lukinac, Jasmina and Bud\v{z}aki, Sandra and Koceva Komleni\'{c}, Daliborka}, year = {2014}, pages = {182-187}, keywords = {computer vision, food quality, shape descriptors}, title = {Quality inspection of cookies using computer vision}, keyword = {computer vision, food quality, shape descriptors}, publisher = {Grafika Osijek}, publisherplace = {Opatija, Hrvatska} }
@article{article, author = {\v{C}a\v{c}i\'{c}, Frane and Lukinac, Jasmina and Bud\v{z}aki, Sandra and Koceva Komleni\'{c}, Daliborka}, year = {2014}, pages = {182-187}, keywords = {computer vision, food quality, shape descriptors}, title = {Quality inspection of cookies using computer vision}, keyword = {computer vision, food quality, shape descriptors}, publisher = {Grafika Osijek}, publisherplace = {Opatija, Hrvatska} }




Contrast
Increase Font
Decrease Font
Dyslexic Font