Pregled bibliografske jedinice broj: 1132915
Classification of biscuit tiles for defect detection using Fourier transform features
Classification of biscuit tiles for defect detection using Fourier transform features // ISA transactions, 125 (2021), 400-414 doi:10.1016/j.isatra.2021.06.025 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1132915 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Classification of biscuit tiles for defect detection
using Fourier transform features
Autori
Zorić, Bruno ; Matić, Tomislav ; Hocenski, Željko
Izvornik
ISA transactions (0019-0578) 125
(2021);
400-414
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
biscuit tile ; ceramic tile ; defect detection ; feature extraction ; Fourier transform
Sažetak
Automated defect detection is difficult to achieve in ceramic tile manufacturing today. Computer vision and machine learning based approaches are commonly utilised for this purpose. This paper considers the problem of defect detection in the textured ceramic tiles quality analysis. Instead of detecting defects on the finished tile, the biscuit tile is considered, a pressed, dried, decorated tile before its firing in the kiln. As it is an intermediary product during tile production, classifying them as defected or not before the firing can significantly reduce energy and material costs. To this end, in this paper we propose a new Fourier spectrum annuli feature extraction method. It is based on Fourier spectrum of the surface biscuit tile image and tested on real tile examples from the ceramic tile industry. According to the observed results, it outperforms several well-known methods for feature extraction on real-world tile datasets reaching an F1 score of 0.9236 and 0.8866 on the Black Random Stripes and Stripes Brown Light tile designs respectively.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Projekti:
EK-FP7-609491 - TETRACOM (Technology Transfer in Computing Systems) (Hocenski, Željko, EK ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
- MEDLINE