• DocumentCode
    3265723
  • Title

    Evolvable Reconfigurable Hardare framework for edge detection

  • Author

    Rafla, Nader I.

  • Author_Institution
    Boise State Univ., Boise
  • fYear
    2007
  • fDate
    5-8 Aug. 2007
  • Firstpage
    65
  • Lastpage
    68
  • Abstract
    Systems on Reconfigurable Chips contain rich resources of logic, memory, and processor cores on the same fabric. This platform is suitable for implementation of Evolvable Reconfigurable Hardware Architectures (ERHA). It is based on the idea of combining reconfigurable Field Programmable Gate Arrays (FPGA) along with genetic algorithms (GA) to perform the reconfiguration operation. This architecture is a suitable candidate for implementation of early-processing stage operators of image processing such as filtering and edge detection. However, there are still fundamental issues need to be solved regarding the on-chip reprogramming of the logic. This paper presents a framework for implementing an evolvable hardware architecture for edge detection on Xilinx Virtex-4 chip. Some preliminary results are discussed.
  • Keywords
    edge detection; field programmable gate arrays; genetic algorithms; reconfigurable architectures; Xilinx Virtex-4 chip; edge detection; evolvable reconfigurable hardware architectures; genetic algorithms; image processing; on-chip reprogramming; reconfigurable chips; reconfigurable field programmable gate arrays; Biological cells; Computer architecture; Field programmable gate arrays; Genetic algorithms; Hardware; Image edge detection; Memory management; Random access memory; Read-write memory; Reconfigurable logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2007. MWSCAS 2007. 50th Midwest Symposium on
  • Conference_Location
    Montreal, Que.
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4244-1175-7
  • Electronic_ISBN
    1548-3746
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2007.4488542
  • Filename
    4488542