Skin Region Segmentation based on the Average Preprocessed Image of Multicolor Face Image Sequence

Li Wei (China West Normal University)
Xianbo He (School of Computer Science, China West Normal University,)
Fangyuan Jiao (School of Computer Science, China West Normal University)

Journal of Engineering and Technological Sciences
Vol. 46 No. 4 (2014)

For face images with unbalance color and light, this paper proposed a method of skin region segmentation based on preprocessing of multicolor face image sequence. In this method, the multicolor face images of the sequence were preprocessed to remove color offset and uneven brightness. Then the color informations of preprocessed face images were jointly used for taking the average to remove noise and smooth the face image. Finally, for the average preprocessed face image, based on the established ellipse skin model, the skin region segmentation was realized. Experiments show that, this method had good performance.