Pregled bibliografske jedinice broj: 1183120
Generating Artificial Biscuit Tile Images
Generating Artificial Biscuit Tile Images // Proceedings of OTO 2021 / Glavaš, Hrvoje ; Hadzima-Nyarko, Marijana ; Karakašić, Mirko ; Ademović, Naida ; Avdaković, Samir (ur.).
Cham: Springer, 2022. str. 378-389 doi:10.1007/978-3-030-92851-3_28 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1183120 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Generating Artificial Biscuit Tile Images
Autori
Dukić, Jana ; Aleksi, Ivan ; Matić, Tomislav ; Sušac, Filip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of OTO 2021
/ Glavaš, Hrvoje ; Hadzima-Nyarko, Marijana ; Karakašić, Mirko ; Ademović, Naida ; Avdaković, Samir - Cham : Springer, 2022, 378-389
ISBN
978-3-030-92850-6
Skup
30th International Conference on Organization and Technology of Maintenance (OTO 2021)
Mjesto i datum
Osijek, Hrvatska, 10.12.2021. - 11.12.2021
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
ceramic tile ; augmentation ; artificial ; defects ; detection
Sažetak
This paper addresses the problem of creating a large image set with artificially inserted biscuit tile surface defects. Those defects commonly occur in real-life ceramic tile production. However, the occurrence rate of a defected tile is neglectable to the rate of a non-defected tile. To overcome the gap in the size of the two sets of images, with defects and without defects, artificial image generation increases the number of images with defects. This paper enables the future use of machine learning algorithms, which require a relatively equal size of the two image sets. The analysis of surface defects pointed to a similarity of the surface defect to an inverted Gaussian curve. The Gaussian distribution model is proposed for modeling a biscuit tile surface defect. Captured images with surface defects are compared with corresponding artificially created images. Image set without defects is used to create the image set with defects.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Interdisciplinarne tehničke znanosti, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek