@article{(Open Science Index):https://publications.waset.org/pdf/10000063,
	  title     = {Improved Skin Detection Using Colour Space and Texture},
	  author    = {Medjram Sofiane and  Babahenini Mohamed Chaouki and  Mohamed Benali Yamina},
	  country	= {},
	  institution	= {},
	  abstract     = {Skin detection is an important task for computer
vision systems. A good method of skin detection means a good and
successful result of the system.
The colour is a good descriptor for image segmentation and
classification; it allows detecting skin colour in the images. The
lighting changes and the objects that have a colour similar than skin
colour make the operation of skin detection difficult.
In this paper, we proposed a method using the YCbCr colour space
for skin detection and lighting effects elimination, then we use the
information of texture to eliminate the false regions detected by the
YCbCr skin model.
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {8},
	  number    = {12},
	  year      = {2014},
	  pages     = {2194 - 2197},
	  ee        = {https://publications.waset.org/pdf/10000063},
	  url   	= {https://publications.waset.org/vol/96},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 96, 2014},