An unsupervised color image segmentation algorithm for facedetection applications
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Author
A Albiol, L Torres, EJ Delp
Entry type
article
Abstract
This paper presents an unsupervised color 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 information 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
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Date
2001 – 10
Key alpha
Delp
Pages
681-684
Volume
2
Publication Date
2001-10-01