Fuzzy Rule-Based Skin Color Modeling and Classification

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Researchers have pursued skin color modeling as a means for classifying skin color pixels mainly throughhistogram method and Gaussian Model. This paper reports the modeling of a skin color classifier using Fuzzy Logic. The merit of modeling the skin color via Fuzzy Logic is the easily available platform offers by Fuzzy Logic to adapt the classifier. The fuzzy rules for the classifier are obtained through a tree-like selective procedure from the 3D-histogram of the RGB color space. Classification results pertaining to the method is presented. Some concluding remarks are derived towards the end of the paper.
Publisher
Institute of Information Convergence Technology
Issue Date
2009
Language
English
Citation

INTERNATIONAL JOURNAL OF ASSISTIVE ROBOTICS AND SYSTEMS, v.10, no.3, pp.37 - 46

ISSN
1017-9909
URI
http://hdl.handle.net/10203/101774
Appears in Collection
EE-Journal Papers(저널논문)
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