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Abstract
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Article Information:
Skin Segmentation using Ensemble Technique
S.M. Jaisakthi and S. Mohanavalli
Corresponding Author: S.M. Jaisakthi
Submitted: October 29, 2014
Accepted: February 5, 2015
Published: April 15, 2015 |
Abstract:
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Localizing potential skin regions in a color image forms a significant step in applications like face detection, face recognition, face verification, face tracking, gesture analysis, content-based image retrieval and human computer interaction. In this study, we present a pixel based skin segmentation algorithm with ensemble approach using Gaussian Mixture Model (GMM) classifier. Skin color features are extracted using RGB, HSV, YCbCr and CIELab color spaces and ensembled into a single feature vector which is used to train the GMM classifier. Comprehensive experiments have been conducted using three different datasets, SFA Database, ECU Skin Database and UCI Skin database. The skin detection rate of our proposed classifier is observed to be better than the existing works.
Key words: Classifier ensemble, feature extraction, gaussian mixture model, skin segmentation, , ,
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Cite this Reference:
S.M. Jaisakthi and S. Mohanavalli , . Skin Segmentation using Ensemble Technique . Research Journal of Applied Sciences, Engineering and Technology, (11): 963-968.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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