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Pregled bibliografske jedinice broj: 1132915

Classification of biscuit tiles for defect detection using Fourier transform features


Zorić, Bruno; Matić, Tomislav; Hocenski, Željko
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)


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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

Profili:

Avatar Url Tomislav Matić (autor)

Avatar Url Željko Hocenski (autor)

Avatar Url Bruno Zorić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Zorić, Bruno; Matić, Tomislav; Hocenski, Željko
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)
Zorić, B., Matić, T. & Hocenski, Ž. (2021) Classification of biscuit tiles for defect detection using Fourier transform features. ISA transactions, 125, 400-414 doi:10.1016/j.isatra.2021.06.025.
@article{article, author = {Zori\'{c}, Bruno and Mati\'{c}, Tomislav and Hocenski, \v{Z}eljko}, year = {2021}, pages = {400-414}, DOI = {10.1016/j.isatra.2021.06.025}, keywords = {biscuit tile, ceramic tile, defect detection, feature extraction, Fourier transform}, journal = {ISA transactions}, doi = {10.1016/j.isatra.2021.06.025}, volume = {125}, issn = {0019-0578}, title = {Classification of biscuit tiles for defect detection using Fourier transform features}, keyword = {biscuit tile, ceramic tile, defect detection, feature extraction, Fourier transform} }
@article{article, author = {Zori\'{c}, Bruno and Mati\'{c}, Tomislav and Hocenski, \v{Z}eljko}, year = {2021}, pages = {400-414}, DOI = {10.1016/j.isatra.2021.06.025}, keywords = {biscuit tile, ceramic tile, defect detection, feature extraction, Fourier transform}, journal = {ISA transactions}, doi = {10.1016/j.isatra.2021.06.025}, volume = {125}, issn = {0019-0578}, title = {Classification of biscuit tiles for defect detection using Fourier transform features}, keyword = {biscuit tile, ceramic tile, defect detection, feature extraction, Fourier transform} }

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


Citati:





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