Skin Segmentation Using Color Distance Map and Water-Flow Property

  • Authors:
  • M. Abdullah-Al-Wadud;Oksam Chae

  • Affiliations:
  • -;-

  • Venue:
  • IAS '08 Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security
  • Year:
  • 2008

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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.