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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW4/35S966P
Repositorysid.inpe.br/sibgrapi@80/2009/08.18.12.17
Last Update2009:08.18.12.17.16 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2009/08.18.12.17.18
Metadata Last Update2022:06.14.00.14.03 (UTC) administrator
DOI10.1109/SIBGRAPI.2009.47
Citation KeyKuiaskiVieiBorbGamb:2009:StEfIl
TitleA Study of the Effect of Illumination Conditions and Color Spaces on Skin Segmentation
FormatPrinted, On-line.
Year2009
Access Date2024, Apr. 29
Number of Files1
Size1001 KiB
2. Context
Author1 Kuiaski, Diogo
2 Vieira Neto, Hugo
3 Borba, Gustavo
4 Gamba, Humberto
Affiliation1 Post-graduation Program in Electrical Engineering and Industrial Informatics, Federal University of Techology - Paraná
2 Post-graduation Program in Electrical Engineering and Industrial Informatics, Federal University of Techology - Paraná
3 Post-graduation Program in Electrical Engineering and Industrial Informatics, Federal University of Techology - Paraná
4 Post-graduation Program in Electrical Engineering and Industrial Informatics, Federal University of Techology - Paraná
EditorNonato, Luis Gustavo
Scharcanski, Jacob
e-Mail Addresshvieir@utfpr.edu.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 22 (SIBGRAPI)
Conference LocationRio de Janeiro, RJ, Brazil
Date11-14 Oct. 2009
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2010-08-28 20:03:27 :: hvieir@utfpr.edu.br -> administrator ::
2022-06-14 00:14:03 :: administrator -> :: 2009
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsskin segmentation
Bayes theory
image processing
color spaces
AbstractThis work aims at investigating the influence of luminance information and environment illumination on skin classification. We explore Bayesian approaches to perform automatic classification of human skin pixels on digital images, using color features as input. Two probabilistic skin color models were built on different color spaces (RGB, normalized RG, HSI, HS, YCbCr and CbCr) and tested in a task of automatic pixel classification into skin and non-skin. Analyses of classification performance were done by presenting an illumination controlled image database containing images acquired in four different illumination conditions (shadow, sun, incandescent and fluorescent lights) to these classifiers. Our experiments show that building probabilistic skin color models using the CbCr color space generally improves performance of the classifiers and that best performance is achieved in shadow illumination.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2009 > A Study of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > A Study of...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW4/35S966P
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW4/35S966P
Languageen
Target FilePID950646.pdf
User Grouphvieir@utfpr.edu.br
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46SJQ2S
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.14.19.43 3
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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