• DocumentCode
    3389218
  • Title

    A 22.4 mW competitive fuzzy edge detection processor for volume rendering

  • Author

    Kwon, Joonsoo ; Kim, Minsu ; Oh, Jinwook ; Yoo, Hoi-Jun

  • Author_Institution
    Dept. of Electr. Eng., KAIST, Daejeon, South Korea
  • fYear
    2010
  • fDate
    May 30 2010-June 2 2010
  • Firstpage
    1883
  • Lastpage
    1886
  • Abstract
    A low power competitive fuzzy edge detection (C-FED) processor is proposed for gradient calculations in volume rendering. Its linearized fuzzy membership function reduces overall power by 35.1% and the proposed hardware sharing between computation stages reduces power consumption by 18%. Threshold adaptive bit control scheme is proposed to predetermine background pixel with simple operation which results in 13% power reduction. Overall power consumption is reduced by 53.8%. Its power consumption and energy per pixel is 22.4 mW and 0.14nJ/pixel, respectively, at 1.8-V supply. The fabricated processor occupying 450 μm × 450 μm in a 0.18 μm CMOS process achieves 1821.5fps for the input image of 300 × 300 pixels at 200 MHz operating frequency.
  • Keywords
    CMOS logic circuits; adaptive control; edge detection; fuzzy set theory; power consumption; rendering (computer graphics); volume control; 22.4 mW competitive fuzzy edge detection processor; CMOS process; fuzzy membership function linearized; hardware sharing; power consumption reduction; size 0.18 mum; size 450 mum; threshold adaptive bit control scheme; volume rendering; Adaptive control; CMOS process; Energy consumption; Hardware; Image edge detection; Noise robustness; Pixel; Power engineering computing; Programmable control; Rendering (computer graphics);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-4244-5308-5
  • Electronic_ISBN
    978-1-4244-5309-2
  • Type

    conf

  • DOI
    10.1109/ISCAS.2010.5537899
  • Filename
    5537899