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Pregled bibliografske jedinice broj: 636559

CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm


Matić, Tomislav; Aleksi, Ivan; Hocenski, Željko
CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm // Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije, 55 (2014), 1; 9-21 (međunarodna recenzija, članak, znanstveni)


Naslov
CPU, GPU and FPGA Implementations of MALD: Ceramic Tile Surface Defects Detection Algorithm

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

Izvornik
Automatika : časopis za automatiku, mjerenje, elektroniku, računarstvo i komunikacije (0005-1144) 55 (2014), 1; 9-21

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

Ključne riječi
CUDA; FPGA; GPU; Integral Image; MALD

Sažetak
This paper addresses adjustments, implementation and performance comparison of the Moving Average with Local Difference (MALD) method for ceramic tile surface defects detection. Ceramic tile production process is completely autonomous, except the final stage where human eye is required for defects detection. Recent computational platform development and advances in machine vision provides us with several options for MALD algorithm implementation. In order to exploit the shortest execution time for ceramic tile production process, the MALD method is implemented on three different platforms: CPU, GPU and FPGA, and it is implemented on each platform in at least two ways. Implementations are done in MATLAB's MEX/C++, C++, CUDA/C++, VHDL and Assembly programming languages. Execution times are measured and compared for different algorithms and their implementations on different computational platforms.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekt / tema
165-0361621-2000 - Distribuirano računalno upravljanje u transportu i industrijskim pogonima (Željko Hocenski, )
165-0362980-2002 - Postupci raspoređivanja u samoodrživim raspodijeljenim računalnim sustavima (Goran Martinović, )

Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • INSPEC
  • Science Citation Index Expanded
  • SCOPUS
  • EBSCO