• DocumentCode
    2709134
  • Title

    Chaotic phase synchronization for visual selection

  • Author

    Breve, Fabricio A. ; Zhao, Liang ; Quiles, Marcos G. ; Macau, Elbert E N

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Sao Paulo, Sao Carlos, Brazil
  • fYear
    2009
  • fDate
    14-19 June 2009
  • Firstpage
    383
  • Lastpage
    390
  • Abstract
    Chaotic phase synchronization among coupled oscillators is a phenomenon of interest in many physical and engineering systems. It has also been observed in biological systems, where groups of different functional units interact with each other in order to produce coherent behaviors in higher levels. While biological systems have facility to capture salient object(s) in a given scene, visual selection is still a challenging task to artificial visual systems. In this paper, a visual selection mechanism based on chaotic phase synchronization is proposed. Oscillators representing the salient object in a given scene are phase synchronized, while no synchronization is observed for background objects. In this way, the salient object is highlighted. Due to the modeling by phase synchronization instead of complete synchronization, the proposed model is robust, biologically inspired and good simulation results were achieved.
  • Keywords
    biology computing; neurophysiology; synchronisation; artificial visual system; biological system; chaotic phase synchronization; coupled oscillators; salient object; visual selection; Biological system modeling; Biological systems; Brazil Council; Chaos; Computer science; Layout; Neurons; Oscillators; Space technology; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2009. IJCNN 2009. International Joint Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-3548-7
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2009.5178761
  • Filename
    5178761