Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/2183,
  title    = {Skin Detection using Histogram depend on the Mean Shift Algorithm},
  author    = {Soo- Young Ye and  Ki-Gon Nam and  Ki-Won Byun},
  country   = {},
  institution={},
  abstract  = {In this paper, we were introduces a skin detection
method using a histogram approximation based on the mean shift
algorithm. The proposed method applies the mean shift procedure to a
histogram of a skin map of the input image, generated by comparison
with standard skin colors in the CbCr color space, and divides the
background from the skin region by selecting the maximum value
according to brightness level. The proposed method detects the skin
region using the mean shift procedure to determine a maximum value
that becomes the dividing point, rather than using a manually selected
threshold value, as in existing techniques. Even when skin color is
contaminated by illumination, the procedure can accurately segment
the skin region and the background region. The proposed method may
be useful in detecting facial regions as a pretreatment for face
recognition in various types of illumination.},
    journal   = {International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering},  volume    = {6},
  number    = {7},
  year      = {2012},
  pages     = {690 - 692},
  ee        = {http://waset.org/publications/2183},
  url       = {http://waset.org/Publications?p=67},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 67, 2012},
}