• DocumentCode
    190058
  • Title

    Hardware implementation of IC-PCNN for the color image segmentation

  • Author

    Yoshihara, Masahiro ; Kurokawa, Hiroaki

  • Author_Institution
    Sch. of Comput. Sci., Tokyo Univ. of Technol., Hachioji, Japan
  • fYear
    2014
  • fDate
    14-16 April 2014
  • Firstpage
    391
  • Lastpage
    396
  • Abstract
    An image processing using the Pulse Coupled Neural Network(PCNN) has been proposed and well studied recently. To achieve a color image processing using the PCNN scheme, authors had been proposed the IC-PCNN as an extended model of the PCNN. In our previous paper, the successful results of color image segmentation had been shown by numerical experiments. This paper describes the hardware implementation of the Inhibitory Connected Pulse Coupled Neural Network(IC-PCNN) in FPGA. From the results, we evaluate the possibility of our IC-PCNN for the embedded system.
  • Keywords
    image colour analysis; image segmentation; neural nets; FPGA; IC-PCNN scheme; color image segmentation; embedded system; image processing; inhibitory connected pulse coupled neural network; pulse coupled neural network; Biological neural networks; Color; Field programmable gate arrays; Image segmentation; Joining processes; Neurons; FPGA; Keywarods; Pulse Coupled Neural Networks; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Region 10 Symposium, 2014 IEEE
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-2028-0
  • Type

    conf

  • DOI
    10.1109/TENCONSpring.2014.6863064
  • Filename
    6863064