• DocumentCode
    2108650
  • Title

    Input Plane Preprocessing of Joint Transform Correlator Based on Swarm Intelligence

  • Author

    Wang, Yong ; Zhu, Ming

  • Author_Institution
    Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Input plane image preprocessing can improve the performance of Joint Transform Correlator(JTC). Swarm Intelligence based image processing method is consistent with the parallel characteristic of optical signal processing method. In this paper,A Swarm Intelligence based input plane preprocessing method is proposed. Some other methods are also used to perform the task, such as grayscale transform, Sobel operator and mathematical morphology. The experimental results show that the performance of the proposed Swarm Intelligence preprocessing based JTC is better than that of the JTC based on other preprocessing methods.
  • Keywords
    Fourier transforms; artificial intelligence; image processing; mathematical morphology; Fourier transforms; Sobel operator; grayscale transform; input plane preprocessing; joint transform correlator; mathematical morphology; optical signal processing; swarm intelligence; Correlators; Data preprocessing; Fourier transforms; Intelligent agent; Lenses; Mirrors; Optical modulation; Optical signal processing; Particle swarm optimization; Physics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5302365
  • Filename
    5302365