• DocumentCode
    2911348
  • Title

    Thinning Based Multipurpose Camouflage Pattern Design

  • Author

    Hejrandoost, Arash Abdi ; Safabakhsh, Reza

  • Author_Institution
    Amirkabir Univ., Tehran, Iran
  • fYear
    2011
  • fDate
    16-17 Nov. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Traditional generations of camouflage pattern were an artistic and manually work. Most of current computer aided camouflage pattern designs focused on a single background to produce the pattern for. In our proposed method, a multi background camouflage pattern is designed using Fuzzy C Means (FCM) clustering method followed by a object thinning algorithm to combine clustered backgrounds with each other. The goal is to generate patterns with similarity to all backgrounds. Experimental results and their evaluations demonstrate generated patterns inherited color and texture characteristics of all backgrounds.
  • Keywords
    fuzzy set theory; image colour analysis; image texture; image thinning; pattern clustering; color characteristics; computer aided camouflage pattern designs; fuzzy c-means clustering method; multibackground camouflage pattern; object thinning algorithm; texture characteristics; thinning based multipurpose camouflage pattern design; Clustering algorithms; Clustering methods; Computers; Histograms; Image color analysis; Image segmentation; Merging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Image Processing (MVIP), 2011 7th Iranian
  • Conference_Location
    Tehran
  • Print_ISBN
    978-1-4577-1533-4
  • Type

    conf

  • DOI
    10.1109/IranianMVIP.2011.6121542
  • Filename
    6121542