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ICIP
2001
IEEE

An unsupervised color image segmentation algorithm for face detection applications

12 years 1 months ago
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.
Alberto Albiol, Luis Torres, Edward J. Delp
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Alberto Albiol, Luis Torres, Edward J. Delp
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