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Pregled bibliografske jedinice broj: 931690

Časopis

Autori: Matić, Tomislav; Aleksi, Ivan; Hocenski, Željko; Kraus, Dieter
Naslov: Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection
( Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection )
Izvornik: ISA transactions (0019-0578) 76 (2018); 246-254
Vrsta rada: članak
Ključne riječi: Image segmentation ; real-time ; edge detection ; biscuit tile ; CUDA
( 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: eng
Rad je indeksiran u
bazama podataka:
Current Contents Connect (CCC)
MEDLINE
Scopus
SCI-EXP, SSCI i/ili A&HCI
Science Citation Index Expanded (SCI-EXP) (sastavni dio Web of Science Core Collectiona)
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo
URL Internet adrese: https://www.sciencedirect.com/science/article/pii/S0019057818301228
Broj citata:
Altmetric:
DOI: 10.1016/j.isatra.2018.03.015
URL cjelovitog teksta:
Časopis izlazi u samo elektroničkom izdanju: NE
Google Scholar: Real-time Biscuit Tile Image Segmentation Method Based on Edge Detection
Upisao u CROSBI: Tomislav Matić (tomislav.matic1@etfos.hr), 21. Ožu. 2018. u 13:43 sati



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