The Center for Education and Research in Information Assurance and Security (CERIAS)

The Center for Education and Research in
Information Assurance and Security (CERIAS)

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

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