• DocumentCode
    2105454
  • Title

    Recognition of Time-frequency Image Ridge by PSO

  • Author

    Yu, Ming ; Zeng, Jianchao ; Zhao, Jian ; Yan, Xianguo

  • Author_Institution
    Tianjin Inst. of Urban Constr., Tianjin
  • fYear
    2008
  • fDate
    21-22 Dec. 2008
  • Firstpage
    479
  • Lastpage
    482
  • Abstract
    Characteristic parameters identification of mechanical structure is an important part of modal analysis. These ridges can carry much information of system characteristic parameters. Recognition of the ridges in time-frequency space is addressed in this paper by making use of the so-called PSO (particle swarm optimization) technique. Furthermore, the simulation experiments are implemented in order to evaluate precision of this method and the robustness of noise. The simulation experiment results prove that this method is fast and simple, with high accuracy, less iterations and small noise. PSO is shown to be a promising method to solve ridge recognition problems regarding, in particular, according to the results herein obtained.
  • Keywords
    image recognition; iterative methods; particle swarm optimisation; PSO; characteristic parameters identification; mechanical structure; modal analysis; noise robustness; particle swarm optimization; ridge recognition problems; time-frequency image recognition; time-frequency space; Data mining; Image recognition; Information technology; Karhunen-Loeve transforms; Modal analysis; Noise robustness; Parameter estimation; Particle swarm optimization; Space technology; Time frequency analysis; Time-frequency image ridge; ridge Recognition; the particle swarm optimization (PSO) algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application Workshops, 2008. IITAW '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-0-7695-3505-0
  • Type

    conf

  • DOI
    10.1109/IITA.Workshops.2008.45
  • Filename
    4731982