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
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;
Conference_Titel :
Information Assurance and Security, 2008. ISIAS '08. Fourth International Conference on
Conference_Location :
Naples
Print_ISBN :
978-0-7695-3324-7
DOI :
10.1109/IAS.2008.65