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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorKuiaski, Diogo-
Autor(es): dc.creatorVieira Neto, Hugo-
Autor(es): dc.creatorBorba, Gustavo-
Autor(es): dc.creatorGamba, Humberto Remigio-
Data de aceite: dc.date.accessioned2025-08-29T12:40:00Z-
Data de disponibilização: dc.date.available2025-08-29T12:40:00Z-
Data de envio: dc.date.issued2013-11-21-
Data de envio: dc.date.issued2009-
Fonte completa do material: dc.identifierhttp://repositorio.utfpr.edu.br/jspui/handle/1/659-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1109/SIBGRAPI.2009.47-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1099640-
Descrição: dc.descriptionThis 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.-
Descrição: dc.description5000-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherCuritiba-
Relação: dc.relationBrazilian Symposium on Computer Graphics and Image Processing-
Relação: dc.relationhttp://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi%4080/2009/08.18.12.17/doc/PID950646.pdf-
Palavras-chave: dc.subjectProcessamento de imagens - Técnicas digitais-
Palavras-chave: dc.subjectCor da pele-
Palavras-chave: dc.subjectIluminação-
Palavras-chave: dc.subjectTeoria bayesiana de decisão estatística-
Palavras-chave: dc.subjectImage processing - Digital techniques-
Palavras-chave: dc.subjectHuman skin color-
Palavras-chave: dc.subjectLighting-
Palavras-chave: dc.subjectBayesian statistical decision theory-
Título: dc.titleA study of the effect of illumination conditions and color spaces on skin segmentation-
Tipo de arquivo: dc.typeaula digital-
Aparece nas coleções:Repositorio Institucional da UTFPR - RIUT

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