A study of the effect of illumination conditions and color spaces on skin segmentation
This 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 we...
| Principais autores: | Kuiaski, Diogo, Vieira Neto, Hugo, Borba, Gustavo, Gamba, Humberto Remigio |
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| Formato: | Trabalho Apresentado em Evento |
| Idioma: | Inglês |
| Publicado em: |
Curitiba
2013
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| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/659 http://dx.doi.org/10.1109/SIBGRAPI.2009.47 |
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riut-1-6592015-03-07T06:12:24Z A study of the effect of illumination conditions and color spaces on skin segmentation Kuiaski, Diogo Vieira Neto, Hugo Borba, Gustavo Gamba, Humberto Remigio Processamento de imagens - Técnicas digitais Cor da pele Iluminação Teoria bayesiana de decisão estatística Image processing - Digital techniques Human skin color Lighting Bayesian statistical decision theory This 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. 5000 2013-11-21T23:01:03Z 2009 conferenceObject KUIASKI, Diogo et al. A study of the effect of illumination conditions and color spaces on skin segmentation. In: BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, 22., 2009, Rio de Janeiro. Anais eletrônicos... Rio de Janeiro, 2009. Disponível em: <http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi%4080/2009/08.18.12.17/doc/PID950646.pdf>. Acesso em: 16 jul. 2013. 978-0-7695-3813-6 1550-1834 http://repositorio.utfpr.edu.br/jspui/handle/1/659 http://dx.doi.org/10.1109/SIBGRAPI.2009.47 eng Brazilian Symposium on Computer Graphics and Image Processing http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi%4080/2009/08.18.12.17/doc/PID950646.pdf application/pdf Curitiba |
| institution |
Universidade Tecnológica Federal do Paraná |
| collection |
RIUT |
| language |
Inglês |
| topic |
Processamento de imagens - Técnicas digitais Cor da pele Iluminação Teoria bayesiana de decisão estatística Image processing - Digital techniques Human skin color Lighting Bayesian statistical decision theory |
| spellingShingle |
Processamento de imagens - Técnicas digitais Cor da pele Iluminação Teoria bayesiana de decisão estatística Image processing - Digital techniques Human skin color Lighting Bayesian statistical decision theory Kuiaski, Diogo Vieira Neto, Hugo Borba, Gustavo Gamba, Humberto Remigio A study of the effect of illumination conditions and color spaces on skin segmentation |
| description |
This 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. |
| format |
Trabalho Apresentado em Evento |
| author |
Kuiaski, Diogo Vieira Neto, Hugo Borba, Gustavo Gamba, Humberto Remigio |
| author_sort |
Kuiaski, Diogo |
| title |
A study of the effect of illumination conditions and color spaces on skin segmentation |
| title_short |
A study of the effect of illumination conditions and color spaces on skin segmentation |
| title_full |
A study of the effect of illumination conditions and color spaces on skin segmentation |
| title_fullStr |
A study of the effect of illumination conditions and color spaces on skin segmentation |
| title_full_unstemmed |
A study of the effect of illumination conditions and color spaces on skin segmentation |
| title_sort |
study of the effect of illumination conditions and color spaces on skin segmentation |
| publisher |
Curitiba |
| publishDate |
2013 |
| citation |
KUIASKI, Diogo et al. A study of the effect of illumination conditions and color spaces on skin segmentation. In: BRAZILIAN SYMPOSIUM ON COMPUTER GRAPHICS AND IMAGE PROCESSING, 22., 2009, Rio de Janeiro. Anais eletrônicos... Rio de Janeiro, 2009. Disponível em: <http://sibgrapi.sid.inpe.br/col/sid.inpe.br/sibgrapi%4080/2009/08.18.12.17/doc/PID950646.pdf>. Acesso em: 16 jul. 2013. 978-0-7695-3813-6 1550-1834 |
| url |
http://repositorio.utfpr.edu.br/jspui/handle/1/659 http://dx.doi.org/10.1109/SIBGRAPI.2009.47 |
| _version_ |
1805313127122731008 |
| score |
10,814766 |