Comparison between EM and FCM algorithms in skin tone extraction
This work addresses skin tone extraction for image processing applications, but it is incremental as it compares existing methods without introducing new techniques.
The study compared EM and FCM algorithms for skin color extraction across RGB, HSV, and YCbCr color spaces, finding that the EM algorithm with a Gaussian mixture model performed best in HSV when using all color components.
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.