Comparison between EM and FCM algorithms in skin tone extraction

Autor:	Ravanbakhsh, Elham, Rezaei, Mosab, Namjoo, Ehsan, Choobdar, Padideh
Rok vydání:	2022
Předmět:	Computer Science - Computer Vision and Pattern Recognition Electrical Engineering and Systems Science - Image and Video Processing
Druh dokumentu:	Working Paper
Popis:	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. Comment: 2016 1st International Conference on New Research Achievements in Electrical and Computer Engineering (ICNRAECE)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2211.09979 Zobrazit plný text záznamu View this record from Arxiv