@article{(Open Science Index):https://publications.waset.org/pdf/408,
	  title     = {Adaptive Skin Segmentation Using Color Distance Map},
	  author    = {Mohammad Shoyaib and  M. Abdullah-Al-Wadud and  Oksam Chae},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper an effective approach for segmenting
human skin regions in images taken at different environment is
proposed. The proposed method uses a color distance map that is
flexible enough to reliably detect the skin regions even if the
illumination conditions of the image vary. Local image conditions is
also focused, which help the technique to adaptively detect differently
illuminated skin regions of an image. Moreover, usage of local
information also helps the skin detection process to get rid of picking
up much noisy pixels.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {2156 - 2162},
	  ee        = {https://publications.waset.org/pdf/408},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},