Abstract—This paper proposes a technique to extract human skin color regions from the color images based on combination of both RGB and YU'V color spaces. Since skin pixels can vary with ambient light, to find the range of values for which most skin pixels fall in the skin color space becomes a hard task. Therefore, other techniques based on normalized rg, HSV, YUV, YIQ, YCbCr, RGB, YCbCr-YU'V color spaces are presented and compared in this paper in order to select the appropriate control limits for the purpose of skin color segmentation. From the experimental results, the skin detection results obtained by the proposed technique based on RGB-YU'V color model is found to be the most appropriate color model compared to other methods.
Index Terms—Skin color segmentation, color space, control limits, YCbCr- YU'V.
The authors are with the Intelligent Biometric Group, School of Electricaland Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia.(e-mail:firstname.lastname@example.org, email@example.com).
Cite: Fan Hai Xiang and Shahrel Azmin Suandi, Senior Member, IACSIT, "Fusion of Multi Color Space for Human Skin Region Segmentation," International Journal of Information and Electronics Engineering vol. 3, no. 2, pp. 172-174, 2013.