Research Article | OPEN ACCESS
Skin Segmentation using Ensemble Technique
S.M. Jaisakthi and S. Mohanavalli
SSN College of Engineering, Chennai, Tamil Nadu-603110, India
Research Journal of Applied Sciences, Engineering and Technology 2015 11:963-968
Received: October 29, 2014 | Accepted: February 5, 2015 | Published: April 15, 2015
Abstract
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.
Keywords:
Classifier ensemble, feature extraction , gaussian mixture model , skin segmentation,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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