Adaptive image segmentation for facial photos

초록

This paper presents an adaptive image segmentation for facial photos that is independent to background colors and robust to shadows on backgrounds. Firstly, a coarse segmentation is obtained by combining the Canny edge detector and morphological operations. Then, the input image is converted into normalized RGB color model and each normalized pixel is then classified into the foreground or background. Finally, detection of face candidate regions is done using skin color information. The combination of the face candidate regions and the segmentation in normalized color model is carried out to achieve foreground segmentation without shadows.