• DocumentCode
    2605896
  • Title

    Optimization of Processor Architecture for Image Edge Detection Filter

  • Author

    Osman, Zahraa Elhassan M ; Hussin, Fawnizu Azmadi ; Ali, Noohul Basheer Zain

  • Author_Institution
    Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2010
  • fDate
    24-26 March 2010
  • Firstpage
    648
  • Lastpage
    652
  • Abstract
    In this paper, a dedicated edge detection processor architecture based on field programmable gate arrays is presented. The architecture is an optimization of the Sobel edge detection filter, specifically focusing on the reduction of the computation time. The proposed architecture reduces the number of calculations required for the edge detection process by enhancing the data reuse, i.e. minimizing the frequency of memory access. Direct hardware implementation as proposed by previous works require most image pixels to be read from memory up to six times and transferred into the Sobel edge detection processor. In our work, we try to reduce the number of pixels read therefore affecting tremendous potential speed suitable for the embedded video processing applications.
  • Keywords
    digital signal processing chips; edge detection; field programmable gate arrays; filtering theory; video signal processing; Sobel edge detection filter; data reusing; edge detection processor architecture; embedded video processing application; field programmable gate arrays; image edge detection filter; processor architecture optimization; Brightness; Computer architecture; Field programmable gate arrays; Filters; Image edge detection; Image processing; Image segmentation; Motion detection; Pixel; Real time systems; FPGA; Sobel; edge detection; filter; optimized architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2010 12th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4244-6614-6
  • Type

    conf

  • DOI
    10.1109/UKSIM.2010.123
  • Filename
    5481234