Comparison between EM and FCM algorithms in skin tone extraction

this study aims to investigate implementing EM and FCM algorithm 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 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 detailed comparison are explained in conclusion.

Keywords:

EM , FCM , ROC , skin color segmentation , SPMthis study aims to investigate implementing EM and FCM algorithm 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 color vector are used. In spite of discarding the luminance components in YCbCr and HSV color spaces , EM