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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 5, ISSUE 5, MAY 2016

A Review: Skin Color Segmentation

Sumandeep Kaur

DOI: 10.17148/IJARCCE.2016.5594

Abstract: Skin color segmentationis used to determine whether the color pixel is a skin color or non skin color. Understanding the skin color segmentation which supports to design YCbCr and CIELab algorithm for skin color segmentation which use in various applications such as face detection, human computer interaction, medical x-rays scan, agriculture. In this paper we discuss on face detection algorithms based on skin color. Two color spaces RGB, YCbCr are of main concern. It combined the Crowley and Coutaz (1997) algorithm for RGB and cahi and ngan (1999) algorithm for YCbCr to get a new skin color based face detection algorithm which gives higher accuracy.



Keywords: YCbCr color model, RGB color model, Segmentation, Comparison.

How to Cite:

[1] Sumandeep Kaur, “A Review: Skin Color Segmentation,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2016.5594