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Pregled bibliografske jedinice broj: 931690

Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection


Matić, Tomislav; Aleksi, Ivan; Hocenski, Željko; Kraus, Dieter
Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection // ISA transactions, 76 (2018), 246-254 doi:10.1016/j.isatra.2018.03.015 (međunarodna recenzija, članak, znanstveni)


Naslov
Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection

Autori
Matić, Tomislav ; Aleksi, Ivan ; Hocenski, Željko ; Kraus, Dieter

Izvornik
ISA transactions (0019-0578) 76 (2018); 246-254

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Image segmentation ; real-time ; edge detection ; biscuit tile ; CUDA

Sažetak
In this paper we propose a novel real-time Biscuit Tile Segmentation (BTS) method for images from ceramic tile production line. BTS method is based on signal change detection and contour tracing with a main goal of separating tile pixels from background in images captured on the production line. Usually, human operators are visually inspecting and classifying produced ceramic tiles. Computer vision and image processing techniques can automate visual inspection process if they fulfill real-time requirements. Important step in this process is a real-time tile pixels segmentation. BTS method is implemented for parallel execution on a GPU device to satisfy the real-time constraints of tile production line. BTS method outperforms 2D threshold-based methods, 1D edge detection methods and contour-based methods. Proposed BTS method is in use in the biscuit tile production line.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

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


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