• DocumentCode
    3108637
  • Title

    A study on image merge method using genetic algorithm for image based e-learning system

  • Author

    Naganawa, Yuki ; Kawanaka, Hiroharu ; Tsuruoka, Shinji

  • Author_Institution
    Div. of Electr. & Electron. Eng., Mie Univ., Tsu
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    191
  • Lastpage
    196
  • Abstract
    Previously, authors proposed a method for taking the appropriate images of written area on the blackboard. In the method, the blackboard is segmentalized into several areas and template matching method is used to acquire the high-resolution images of the written area. It is however, difficult to acquire appropriate rules or search areas for template matching method. This makes decision of template size and matching areas more difficult with high accuracy. This paper proposes a new method to merge the blackboard sub image automatically by using Evolutionary Computation.
  • Keywords
    computer aided instruction; decision making; genetic algorithms; image colour analysis; image matching; image resolution; image segmentation; search problems; blackboard segmentation; decision making; e-learning system; evolutionary computation; genetic algorithm; high-resolution image; image merge method; search area; template matching method; Cameras; Character recognition; Computer networks; Electronic learning; Genetic algorithms; Genetic engineering; Image resolution; Image segmentation; Multimedia databases; Videos; Genetic Algorithm; Image Based e-Learning System; Template Matching;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811273
  • Filename
    4811273