@article{(Open Science Index):https://publications.waset.org/pdf/10143,
	  title     = {A new Adaptive Approach for Histogram based Mouth Segmentation},
	  author    = {Axel Panning and  Robert Niese and  Ayoub Al-Hamadi and  Bernd Michaelis},
	  country	= {},
	  institution	= {},
	  abstract     = {The segmentation of mouth and lips is a fundamental
problem in facial image analyisis. In this paper we propose a method
for lip segmentation based on rg-color histogram. Statistical analysis
shows, using the rg-color-space is optimal for this purpose of a pure
color based segmentation. Initially a rough adaptive threshold selects
a histogram region, that assures that all pixels in that region are
skin pixels. Based on that pixels we build a gaussian model which
represents the skin pixels distribution and is utilized to obtain a
refined, optimal threshold. We are not incorporating shape or edge
information. In experiments we show the performance of our lip pixel
segmentation method compared to the ground truth of our dataset and
a conventional watershed algorithm.},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {3},
	  number    = {8},
	  year      = {2009},
	  pages     = {1558 - 1563},
	  ee        = {https://publications.waset.org/pdf/10143},
	  url   	= {https://publications.waset.org/vol/32},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 32, 2009},
	}