• DocumentCode
    131375
  • Title

    Cellular automaton based pixel-level snakes

  • Author

    Fujita, Takashi ; Sawada, Syo ; Iwanaga, Kaihei ; Kumaki, Takeshi ; Nakanishi, Masaki ; Ogura, Tsuneo

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2014
  • fDate
    22-25 June 2014
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    A new version of Pixel Level Snake (PLS), which is an image segmentation algorithm, is proposed. The proposed algorithm is based on processes of Cellular Automaton (CA). In CA, the forces of resistance to stretch and bending are defined by the CA rule, and comparing these forces and the gradients of image pixels determines deforming of the active contour. The CA based PLS consists of simple transition rules, and therefore easy implementation and high speed processing are expected on our dedicated hardware engine. In our experiments, we confirmed the feasibility of the image segmentation with the CA based PLS.
  • Keywords
    cellular automata; image resolution; image segmentation; CA based PLS; CA rule; bending resistance; cellular automaton based pixel-level snakes; image pixels; image segmentation algorithm; stretch resistance; Active contours; Automata; Computational modeling; Computer architecture; Force; Hardware; Microprocessors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Circuits and Systems Conference (NEWCAS), 2014 IEEE 12th International
  • Conference_Location
    Trois-Rivieres, QC
  • Type

    conf

  • DOI
    10.1109/NEWCAS.2014.6934065
  • Filename
    6934065