  This study aims to investigate implementing EM and FCM algorithms for skin
color extraction. The capabilities of three well-known color spaces, namely,
RGB, HSV, and YCbCr for skin-tone extraction are assessed by using statistical
modeling of skin tones using EM and FCM algorithms. The results show that
utilizing a Gaussian mixture model for parametric modeling of skin tones using
EM algorithm works well in HSV color space when all three components of the
color vector are used. In spite of discarding the luminance components in YCbCr
and HSV color spaces, EM algorithm provides the best results. The results of
the detailed comparisons are explained in the conclusion.
