• DocumentCode
    2744797
  • Title

    Application of Pulse Coupled Neural Network in Image Recognition

  • Author

    He, Shuiming ; Wang, Dianhong ; Nin, Yanbin

  • Author_Institution
    China Univ. of Geosci., Wuhan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    5-6 June 2010
  • Firstpage
    415
  • Lastpage
    419
  • Abstract
    Compared with other neural network, PCNN has congenital advantage. Johnson have proved that each input image has its own unique time signature series by lot´s of experiments, and additionally, most of the input images are also have their own unique image Entropy sequence, so according to these characteristics of the image, and combining the characteristics of PCNN itself in the field of image processing, as is shown in the experiments, PCNN could successfully recognize the image which was polluted by different noise.
  • Keywords
    entropy; image recognition; image sequences; neural nets; time series; image entropy sequence; image processing; image recognition; pulse coupled neural network; time signature series; Biological system modeling; Cells (biology); Entropy; Image processing; Image recognition; Joining processes; Neural networks; Neurons; Output feedback; Pulse modulation; Characteristic time series -component; Image recognition; Pulse coupled neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Control and Industrial Engineering (CCIE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-4026-9
  • Type

    conf

  • DOI
    10.1109/CCIE.2010.223
  • Filename
    5491926