• DocumentCode
    2855209
  • Title

    Skin Segmentation Using Color Distance Map and Water-Flow Property

  • Author

    Abdullah-Al-Wadud, M. ; Chae, Oksam

  • Author_Institution
    Dept. of Comput. Eng., KyungHee Univ., Seoul
  • fYear
    2008
  • fDate
    8-10 Sept. 2008
  • Firstpage
    83
  • Lastpage
    88
  • Abstract
    A new approach for skin region segmentation is proposed. It uses color distance map (CDM) and an algorithm based on the property of flow of water. The CDM itself is a grayscale image, which makes the algorithm very simple. However, it is still capable of providing color information based on which some skin and non-skin seed regions can be determined reliably. Then a water-flow based procedure determines skin and non-skin segments completely. The color distance map is robust against variations in imaging conditions and the water-flow procedure efficiently uses the region information to extract solid skin segments without generating much noisy segments.
  • Keywords
    feature extraction; image colour analysis; image segmentation; color distance map; color information; grayscale image; noisy segments; skin region segmentation; water-flow procedure; water-flow property; Clustering algorithms; Computer security; Face detection; Humans; Image processing; Image segmentation; Lighting; Skin; Solids; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2008. ISIAS '08. Fourth International Conference on
  • Conference_Location
    Naples
  • Print_ISBN
    978-0-7695-3324-7
  • Type

    conf

  • DOI
    10.1109/IAS.2008.65
  • Filename
    4627066