NDLI: Non-parametric histogram based skin modeling for skin detection

Content Provider	IEEE Xplore Digital Library
Author	Shruthi, M.L.J. Harsha, B.K.
Copyright Year	2013
Description	Author affiliation: Dept. of Electron. & Commun, CMRIT, Bangalore, India (Shruthi, M.L.J.; Harsha, B.K.)
Abstract	Digital Image Processing is a rapidly evolving field with increasing applications in science and engineering. Image Processing has the capability of developing the ultimate device that can perform visual functions of all living beings. An application of Image processing is skin detection. Skin detection is the process of finding skin colored pixels and regions in an image. Skin color arises due to melanin and hemoglobin, but there are many other objects in the world which are easily confused with skin, certain types of wood, copper, sand as well as clothes often have skin like colors. Therefore there is a need to properly formulate the skin detector, overcoming all the difficulties that arise in detecting skin in an image. This paper presents a technique for skin detection.
Starting Page	1
Ending Page	6
File Size	835387
Page Count	6
File Format	PDF
ISBN	9781479915941
e-ISBN	9781479915972
DOI	10.1109/ICCIC.2013.6724287
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-26
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Skin-likelihood Histogram Color Bayesian classifier Training Histograms Image color analysis Non-parametric Thresholding Detectors Skin Data models Skin probability
Content Type	Text
Resource Type	Article

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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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