• DocumentCode
    2868346
  • Title

    Design and implementation of image fusion system

  • Author

    Wang, Zhihui ; Tie, Yang ; Liu, Yueping

  • Author_Institution
    Dept. of Electron. Eng., Inner Mongolia Univ., Hohhot, China
  • Volume
    10
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Image fusion is one of important image processing technologies. Multi-wavelets, Pulse Couple Neural Network (PCNN), and fractal dimension are very useful theoretical tools for image processing. We introduce the basic principles of image fusion at the level of pixel, feature, and decision. We describe the design rules and steps of Graphical User Interface (GUI). Image fusion system based on GUI is then designed and implemented. We give the framework of the overall design of the system and explain its usage method. The system has many functions: image denoising, image enhancement, image registration, image segmentation, image fusion, and fusion evaluation. Especially can the system implement image fusion based on wavelet, or multi-wavelets, or PCNN, or Match Measure of Pulse Number (MMPN). In order to show that the system is intuitive and easy to use, we apply it to visible image and IR image.
  • Keywords
    computer graphic equipment; coprocessors; image fusion; neural nets; GUI; MMPN; PCNN; fractal dimension; graphical user interface; image denoising; image enhancement; image fusion system; image processing technologies; image registration; image segmentation; match measure of pulse number; multiwavelets; pulse couple neural network; Accuracy; Pixel; GUI; PCNN; fusion evaluation; image fusion system; multiwavelets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5622856
  • Filename
    5622856