• DocumentCode
    2331417
  • Title

    Implementation of Otsu´s thresholding process based on FPGA

  • Author

    Jianlai, Wang ; Chunling, Yang ; Min, Zhu ; Changhui, Wang

  • Author_Institution
    Sch. of Electr. Eng., Harbin Inst. of Technol., Harbin
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    479
  • Lastpage
    483
  • Abstract
    Otsu´s global automatic image thresholding method has been widely employed in various real-time applications. In this paper, an implementation on FPGA (field programmable gate array) using Altera´s Cyclone II series chip for the BCVC (between class variance computation) of Otsu´s method is presented to meet these high speed requirements. The hardware implementation takes advantage of parallel computation capabilities offered by FPGA technology. The proposed architecture employs Altera´s megacore to eliminate the complex divisions and multiplications in the Otsu´s procedure. The FPGA implementation architecture is verified on DE2 board to enable real-time image segmentation, and the experimental results indicate that the system can obtain a good performance of image segmentation.
  • Keywords
    digital signal processing chips; field programmable gate arrays; image segmentation; parallel algorithms; Altera Cyclone II series DSP chip; DE2 board; FPGA technology; Otsu global automatic image thresholding process; between-class-variance computation; field programmable gate array; parallel computation; real-time image segmentation algorithm; Computer architecture; Costs; Cyclones; Digital signal processing chips; Field programmable gate arrays; Hardware; Image processing; Image recognition; Image segmentation; Real time systems; FPGA; Otsu; iamge segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138252
  • Filename
    5138252