• DocumentCode
    3020669
  • Title

    An NProd Algorithm IP Design for Real-Time Image Matching Application onto FPGA

  • Author

    Yonghong, Zeng

  • Author_Institution
    Inst. 8357, Third Acad. of China Aerosp. Sci. & Ind. Corp., Tianjin, China
  • fYear
    2010
  • fDate
    25-27 June 2010
  • Firstpage
    404
  • Lastpage
    409
  • Abstract
    Real-time image matching is usually a core operation in many embedded applications. Often in such applications, low implementation costs and short time-to-market are required. Field programmable gates array (FPGA) based reconfigurable hardware implementation, which provides all the benefits of hardware acceleration while retaining the flexibility of programmability, presents an effective approach to real-time image processing applications. In view of the Verilog HDL and FPGA programmable technology, an efficient FPGA-based intellectual property (IP) core designing methodology to implement such high performance algorithm as normalized product correlation (NProd) image matching algorithm is discussed in this paper, which includes IP-core implementing flow, parametric RTL-level software IP-core design, hardware synthesis, simulation and verification.
  • Keywords
    digital signal processing chips; field programmable gate arrays; hardware description languages; image matching; industrial property; FPGA; Verilog HDL; embedded application; field programmable gates array; hardware synthesis; intellectual property core designing methodology; normalized product correlation image matching algorithm; reconfigurable hardware; Algorithm design and analysis; Clocks; Field programmable gate arrays; Hardware design languages; IP networks; Image matching; Real time systems; field programmable gates array (FPGA); intellectual property (IP); normalized product correlation (NProd); real-time image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Control Engineering (ICECE), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6880-5
  • Type

    conf

  • DOI
    10.1109/iCECE.2010.105
  • Filename
    5631945