NDLI: Performance analysis in common color spaces of 2D Gaussian Color Model for skin segmentation

Content Provider	IEEE Xplore Digital Library
Author	Ketenci, S. Gencturk, B.
Copyright Year	2013
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Karadeniz Tech. Univ., Trabzon, Turkey (Ketenci, S.) \|\| Dept. of Comput. Eng., Karadeniz Tech. Univ. Trabzon, Trabzon, Turkey (Gencturk, B.)
Abstract	The aim of this paper is to determine the most effective color space through common color systems for 2D (two dimension) Gaussian Color Model to segment human skin in image. Skin segmentation generally is preprocessing step in many algorithms such as face detection algorithm, hand detection algorithm, etc. RGB, HSV, YIQ, and YUV can be categorized as common color spaces. Choosing appropriate color space is very important to increase algorithm efficiency. To this end, 2D Gaussian Color Model is built in each common color system using face photos of 50 European people, 50 Asian people and 50 African people from internet randomly in order to detect skin regions. 150 color face skin images size of 50×50 are utilized to get 2D Gaussian Color Model parameters. ROC (receiver operating characteristics) curves are used to performance analysis of the mentioned model in stated color spaces. Experimental results demonstrate that the most exact skin segmentation is obtained in color space for 2D Gaussian Color Model.
Starting Page	1653
Ending Page	1657
File Size	4652174
Page Count	5
File Format	PDF
ISBN	9781467322300
e-ISBN	9781467322324
DOI	10.1109/EUROCON.2013.6625198
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-01
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image color analysis Skin Covariance matrices Image segmentation Computational modeling Gaussian distribution Analytical models false positive rate (FPR) 2d Gaussian color model skin segmentation color spaces Otsu threshold true positive rate (TPR)
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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