NDLI: Chinese skin detection in different color spaces

Content Provider	IEEE Xplore Digital Library
Author	Wei Xiong Qingquan Li
Copyright Year	2012
Description	Author affiliation: State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing, Wuhan Univ., Wuhan, China (Qingquan Li) \|\| Dept. of Commun. Eng., Hubei Univ. of Technol., Wuhan, China (Wei Xiong)
Abstract	Skin detection is an important preliminary process in various computer vision applications. It is typically performed as follows: color constancy for light compensation, transformation from RGB to a non-RGB color space, dropping the luminance component and using the chrominance components only, finally classifying image pixels into skin or non-skin by an appropriate skin color modeling technique. However, there is not a common criterion for the choice of the best color space, which is the focus of our study, to approach this binary classification problem. We have adopted the Gray-Edge assumption for image color correction, evaluated 15 most used color models for color space transformation, and employed an explicit threshold algorithm with smoothed bivariate histogram for skin color classification. To perform detailed comparisons among the selected color spaces, we have manually generated 30 ground truth images, in which non-skin regions have been removed, thus we can compare at pixel level with an accurate and objective criterion. Results show that most appropriate color spaces for Chinese skin color detection are CIE-Lab and CIE-Luv, respectively, with and without the luminance component.
Starting Page	1
Ending Page	5
File Size	1620333
Page Count	5
File Format	PDF
ISBN	9781467358309
e-ISBN	9781467358316
e-ISBN	9781467358293
DOI	10.1109/WCSP.2012.6542853
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Skin color classification Color constancy Chinese skin detection Color space transformation
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A study of color constancy methods for skin detection

Comparison of five color models in skin pixel classification (1999)

Comparison of Five Color Models in Skin Pixel Classification (1999)

A Study of the Effect of Illumination Conditions and Color Spaces on Skin Segmentation

A Power Law Transformation Predicting Lightness Conditions Based on Skin Color Space Detection

A study of the effect of illumination conditions and color spaces on skin segmentation.

Optimum Color Spaces for Skin Detection (2001)

Optimum Color Spaces for Skin Detection (2001)

Improving dermoscopy image analysis using color constancy

Chinese skin detection in different color spaces

Similar Documents

A study of color constancy methods for skin detection

Comparison of five color models in skin pixel classification (1999)

Comparison of Five Color Models in Skin Pixel Classification (1999)

A Study of the Effect of Illumination Conditions and Color Spaces on Skin Segmentation

A Power Law Transformation Predicting Lightness Conditions Based on Skin Color Space Detection

A study of the effect of illumination conditions and color spaces on skin segmentation.

Optimum Color Spaces for Skin Detection (2001)

Optimum Color Spaces for Skin Detection (2001)

Improving dermoscopy image analysis using color constancy

Chinese skin detection in different color spaces