• DocumentCode
    2638976
  • Title

    Impact perforation image processing using a self-organizing map

  • Author

    Okubo, Kenji ; Ogawa, Takehiko ; Kanada, Hajime

  • Author_Institution
    Takushoku Univ., Tokyo
  • fYear
    2007
  • fDate
    17-20 Sept. 2007
  • Firstpage
    1099
  • Lastpage
    1103
  • Abstract
    A characteristic evaluation method from an image of impact perforation process by a high speed photograph system has been studied in the material engineering field. In this method, a steel ball is shot into a material specimen to evaluate characteristics by observing the ball and fragments of the specimen. However, it is often difficult to find a steel ball because of the dispersion of fragments. In this study, we propose to use the self-organizing map to distinguish a steel ball, background and fragments.
  • Keywords
    image processing; self-organising feature maps; impact perforation image processing; self-organizing map; steel ball; Building materials; Cameras; Image processing; Materials testing; Multi-layer neural network; Neural networks; Neurons; Shape; Steel; Training data; Self-organizing map; impact perforation images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE, 2007 Annual Conference
  • Conference_Location
    Takamatsu
  • Print_ISBN
    978-4-907764-27-2
  • Electronic_ISBN
    978-4-907764-27-2
  • Type

    conf

  • DOI
    10.1109/SICE.2007.4421148
  • Filename
    4421148