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
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