An Appropriate Color Space to Improve Human Skin Detection

Detalhes bibliográficos
Autor(a) principal: Ennehar, Bencheriet Chemesse
Data de Publicação: 2010
Outros Autores: Brahim, Oudjani, Hicham, Tebbikh
Tipo de documento: Artigo
Idioma: eng
Título da fonte: INFOCOMP: Jornal de Ciência da Computação
Texto Completo: https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317
Resumo: Skin color detection is often an effective means used to define a set of candidate areas likely to contain faces, hands, or other human organ in a scene. This can be performed by using human skin color models or by threshold of the appropriate color space. A few papers comparing different approaches have been published, however, a study of color space influence on skin detection is still missing. In this paper we present two contributions the first one a comparative study of skin detection obtained by series of tests performed on 11 color spaces (YCbCr, HSV1, HSV2, RGB, RGBn, YUV, Ydbdr, Ypbpr, Hlab, YIQ, Yxy) chosen among the most used, using two methods: skin segmentation by skin Gaussian model created from a large variety of skin samples kept from images of different races people the second method is using threshold according Color space where we give our second contribution that consist to propose threshold for six color spaces, that we didn’t find in scientific literature. Experimental results reveal that using threshold or skin model, HLab is the most appropriate Color space to skin detection in color image. By our contribution we present a significant and useful tool to direct any faces detection system based on skin segmentation to use the appropriate color space that can increase positive detection rate and decrease the negative one.
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spelling An Appropriate Color Space to Improve Human Skin DetectionColor spaceskin detectionskin-color modelGaussian modelthresholdsSkin color detection is often an effective means used to define a set of candidate areas likely to contain faces, hands, or other human organ in a scene. This can be performed by using human skin color models or by threshold of the appropriate color space. A few papers comparing different approaches have been published, however, a study of color space influence on skin detection is still missing. In this paper we present two contributions the first one a comparative study of skin detection obtained by series of tests performed on 11 color spaces (YCbCr, HSV1, HSV2, RGB, RGBn, YUV, Ydbdr, Ypbpr, Hlab, YIQ, Yxy) chosen among the most used, using two methods: skin segmentation by skin Gaussian model created from a large variety of skin samples kept from images of different races people the second method is using threshold according Color space where we give our second contribution that consist to propose threshold for six color spaces, that we didn’t find in scientific literature. Experimental results reveal that using threshold or skin model, HLab is the most appropriate Color space to skin detection in color image. By our contribution we present a significant and useful tool to direct any faces detection system based on skin segmentation to use the appropriate color space that can increase positive detection rate and decrease the negative one.Editora da UFLA2010-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317INFOCOMP Journal of Computer Science; Vol. 9 No. 4 (2010): December, 2010; 1-101982-33631807-4545reponame:INFOCOMP: Jornal de Ciência da Computaçãoinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAenghttps://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317/302Copyright (c) 2016 INFOCOMP Journal of Computer Scienceinfo:eu-repo/semantics/openAccessEnnehar, Bencheriet ChemesseBrahim, OudjaniHicham, Tebbikh2015-07-29T11:48:15Zoai:infocomp.dcc.ufla.br:article/317Revistahttps://infocomp.dcc.ufla.br/index.php/infocompPUBhttps://infocomp.dcc.ufla.br/index.php/infocomp/oaiinfocomp@dcc.ufla.br||apfreire@dcc.ufla.br1982-33631807-4545opendoar:2024-05-21T19:54:31.630170INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)true
dc.title.none.fl_str_mv An Appropriate Color Space to Improve Human Skin Detection
title An Appropriate Color Space to Improve Human Skin Detection
spellingShingle An Appropriate Color Space to Improve Human Skin Detection
Ennehar, Bencheriet Chemesse
Color space
skin detection
skin-color model
Gaussian model
thresholds
title_short An Appropriate Color Space to Improve Human Skin Detection
title_full An Appropriate Color Space to Improve Human Skin Detection
title_fullStr An Appropriate Color Space to Improve Human Skin Detection
title_full_unstemmed An Appropriate Color Space to Improve Human Skin Detection
title_sort An Appropriate Color Space to Improve Human Skin Detection
author Ennehar, Bencheriet Chemesse
author_facet Ennehar, Bencheriet Chemesse
Brahim, Oudjani
Hicham, Tebbikh
author_role author
author2 Brahim, Oudjani
Hicham, Tebbikh
author2_role author
author
dc.contributor.author.fl_str_mv Ennehar, Bencheriet Chemesse
Brahim, Oudjani
Hicham, Tebbikh
dc.subject.por.fl_str_mv Color space
skin detection
skin-color model
Gaussian model
thresholds
topic Color space
skin detection
skin-color model
Gaussian model
thresholds
description Skin color detection is often an effective means used to define a set of candidate areas likely to contain faces, hands, or other human organ in a scene. This can be performed by using human skin color models or by threshold of the appropriate color space. A few papers comparing different approaches have been published, however, a study of color space influence on skin detection is still missing. In this paper we present two contributions the first one a comparative study of skin detection obtained by series of tests performed on 11 color spaces (YCbCr, HSV1, HSV2, RGB, RGBn, YUV, Ydbdr, Ypbpr, Hlab, YIQ, Yxy) chosen among the most used, using two methods: skin segmentation by skin Gaussian model created from a large variety of skin samples kept from images of different races people the second method is using threshold according Color space where we give our second contribution that consist to propose threshold for six color spaces, that we didn’t find in scientific literature. Experimental results reveal that using threshold or skin model, HLab is the most appropriate Color space to skin detection in color image. By our contribution we present a significant and useful tool to direct any faces detection system based on skin segmentation to use the appropriate color space that can increase positive detection rate and decrease the negative one.
publishDate 2010
dc.date.none.fl_str_mv 2010-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317
url https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://infocomp.dcc.ufla.br/index.php/infocomp/article/view/317/302
dc.rights.driver.fl_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 INFOCOMP Journal of Computer Science
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora da UFLA
publisher.none.fl_str_mv Editora da UFLA
dc.source.none.fl_str_mv INFOCOMP Journal of Computer Science; Vol. 9 No. 4 (2010): December, 2010; 1-10
1982-3363
1807-4545
reponame:INFOCOMP: Jornal de Ciência da Computação
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str INFOCOMP: Jornal de Ciência da Computação
collection INFOCOMP: Jornal de Ciência da Computação
repository.name.fl_str_mv INFOCOMP: Jornal de Ciência da Computação - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv infocomp@dcc.ufla.br||apfreire@dcc.ufla.br
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