An unsupervised color image segmentation algorithm for face detection applications

This paper presents an unsupervisedcolor segmentation technique to divide skin detected pixels into a set of homogeneous regions which can be used in face detection applications or any other application which may require color segmentation. The algorithm is carried out in a two stage processing, where the chrominance and luminance informations are used consecutively. For each stage a novel algorithm which combines pixel and region based color segmentation techniques is used. The algorithm has proven to be effective under a large number of test images.

• Type: Conference
• Year: 2001
• Where: ICIP
• Authors: Alberto Albiol, Luis Torres, Edward J. Delp
• Keywords: Color Segmentation Techniques, ICIP 2001, Image Processing, Skin Detected Pixels, Unsupervisedcolor Segmentation Technique