• DocumentCode
    318357
  • Title

    Real-time morphology processing using highly parallel 2D cellular automata CAM2

  • Author

    Ikenaga, Takeshi ; Ogura, Takeshi

  • Author_Institution
    NTT Integrated Inf. & Energy Syst. Lab., Kanagawa, Japan
  • Volume
    2
  • fYear
    1997
  • fDate
    26-29 Oct 1997
  • Firstpage
    562
  • Abstract
    This paper proposes a real-time morphology processing method based on a highly-parallel 2D cellular automata called CAM2 (cellular automata on content addressable memory) that can attain pixel-order parallelism (several hundred thousands) on a single PC board. Evaluation results show that CAM2 can perform various types of morphology processing within video rates, indicating it could be a promising platform for processing morphology
  • Keywords
    cellular automata; content-addressable storage; mathematical morphology; parallel algorithms; real-time systems; video signal processing; cellular automata on content addressable memory; highly parallel 2D cellular automata CAM2; pixel-order parallelism; real-time morphology processing; video rates; Associative memory; CADCAM; CMOS technology; Computer aided manufacturing; Equations; Image processing; Large scale integration; Morphology; Performance evaluation; Pixel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1997. Proceedings., International Conference on
  • Conference_Location
    Santa Barbara, CA
  • Print_ISBN
    0-8186-8183-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1997.638833
  • Filename
    638833
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=318357