Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV

Detalhes bibliográficos
Autor(a) principal: Feitosa, Rafael Divino Ferreira
Data de Publicação: 2015
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Institucional da UFG
dARK ID: ark:/38995/0013000004kzk
Texto Completo: http://repositorio.bc.ufg.br/tede/handle/tede/4756
Resumo: Skin detection techniques are widely applied to locate and to track parts of the human body with the objective of posterior recognition, having received great attention in recent years in the development of research in reason to the innumerable possible applications with the detection and tracking of faces, identification of naked people, identification of hand movements, among others. The present work proposed the construction of mathematical models for the detection of human skin tones such as, white, yellow, brown and black in digital color images in the RGB and HSV color spaces. Using a set of human skin tone samples, mathematical models were constructed describing how the variables of each color pixel in the RGB and HSV systems interrelate. To understand the answer of the proposed system, the mechanistic model was chosen, dividing it into components, observing the behavior of each part and the interactions that occurred between them. The proposed RGB filter reached a 98.3657% reduction index of the spectrum, classifying only 1.6343% (253,159 tones) as possible skin tones and the HSV model reduced the likely spectrum to 2.5352% (94,030 tones), discarding 97.4648% of the colors as candidates for human skin tones. When the proposed filters, were applied to the reduction of the probable range of human skin tones, well-defined bands in the geometric representation of the color spaces were selected. The experimental validation of the effectiveness of the RGB model showed that the proposed filter has conservative characteristics in the detection of skin, mistakenly classifying as skin only 6.7163% of the sample space. The proposed RGB filter has low sensitivity of 61.0831% and high specificity of 95.2769% in the detection of human skin in digital images. The HSV model had rates of (54,6333%) low sensitivity and (92,6390%) high specificity, considered low when compared to the performance of the other algorithms.
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spelling Oliveira, Leandro Luís Galdinohttp://lattes.cnpq.br/5899392002875573Oliveira, Leandro Luís Galdino deSoares, Fabrízzio Alphonsus Alves de Melo NunesSilva, Solange dahttp://lattes.cnpq.br/4739463636062171Feitosa, Rafael Divino Ferreira2015-10-23T18:25:45Z2015-04-14FEITOSA, R. D. F. Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV. 2015. 110 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.http://repositorio.bc.ufg.br/tede/handle/tede/4756ark:/38995/0013000004kzkSkin detection techniques are widely applied to locate and to track parts of the human body with the objective of posterior recognition, having received great attention in recent years in the development of research in reason to the innumerable possible applications with the detection and tracking of faces, identification of naked people, identification of hand movements, among others. The present work proposed the construction of mathematical models for the detection of human skin tones such as, white, yellow, brown and black in digital color images in the RGB and HSV color spaces. Using a set of human skin tone samples, mathematical models were constructed describing how the variables of each color pixel in the RGB and HSV systems interrelate. To understand the answer of the proposed system, the mechanistic model was chosen, dividing it into components, observing the behavior of each part and the interactions that occurred between them. The proposed RGB filter reached a 98.3657% reduction index of the spectrum, classifying only 1.6343% (253,159 tones) as possible skin tones and the HSV model reduced the likely spectrum to 2.5352% (94,030 tones), discarding 97.4648% of the colors as candidates for human skin tones. When the proposed filters, were applied to the reduction of the probable range of human skin tones, well-defined bands in the geometric representation of the color spaces were selected. The experimental validation of the effectiveness of the RGB model showed that the proposed filter has conservative characteristics in the detection of skin, mistakenly classifying as skin only 6.7163% of the sample space. The proposed RGB filter has low sensitivity of 61.0831% and high specificity of 95.2769% in the detection of human skin in digital images. The HSV model had rates of (54,6333%) low sensitivity and (92,6390%) high specificity, considered low when compared to the performance of the other algorithms.Técnicas de detecção de pele são amplamente aplicadas para localizar e rastrear partes do corpo humano com o objetivo de posterior reconhecimento, tendo recebido nos últimos anos grande atenção no desenvolvimento de pesquisas em razão das inúmeras aplicações possíveis como detecção e rastreamento de faces, identificação de pessoas nuas, identificação de movimentos das mãos, entre outras. O presente trabalho propôs construir 2 modelos matemáticos para detecção de tons de pele humana branca, amarela, parda e preta em imagens digitais coloridas nos espaços de cores RGB e HSV. Utilizandose de um conjunto de amostras de tons de pele humana foram construídos modelos matemáticos que descrevem como as variáveis de cada pixel de cor nos sistemas RGB e HSV se relacionam. Para compreender a resposta do sistema proposto, foi escolhido o modelo mecanístico, dividindo-o em componentes e observando o comportamento de cada parte e das interações que ocorreram entre elas. O filtro RGB proposto alcançou o índice de redução de 98,3657% do espectro, classificando apenas 1,6343% (253.159 tons) como possíveis tons de pele e o modelo HSV reduziu para 2,5352% (94.030 tons) o espectro provável, descartando 97,4648% das cores como candidatas a tons de pele humana. Os filtros propostos, quando aplicados à redução do espectro provável de tons de pele humana, selecionaram faixas bem definidas na representação geométrica dos espaços de cores. A validação experimental da eficácia do modelo RGB mostrou que o filtro proposto apresenta características conservadoras na detecção de pele classificando como pele, erroneamente, apenas 4,5075% do espaço amostral. O filtro RGB proposto possui baixa sensibilidade de 56,9698% e elevada especificidade de 95,4925% na detecção de pele humana em imagens digitais. O modelo HSV apresentou taxas de baixa sensibilidade (54,6333%) e alta especificidade (92,6390%), quando comparadas ao desempenho dos demais algoritmos propostos na literatura.Submitted by Erika Demachki (erikademachki@gmail.com) on 2015-10-23T18:23:32Z No. of bitstreams: 2 Dissertação - Rafael Divino Ferreira Feitosa - 2015.pdf: 7893703 bytes, checksum: 12af470c3ca2fb4a3d0bd3885bfde46d (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Approved for entry into archive by Erika Demachki (erikademachki@gmail.com) on 2015-10-23T18:25:45Z (GMT) No. of bitstreams: 2 Dissertação - Rafael Divino Ferreira Feitosa - 2015.pdf: 7893703 bytes, checksum: 12af470c3ca2fb4a3d0bd3885bfde46d (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)Made available in DSpace on 2015-10-23T18:25:45Z (GMT). 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dc.title.por.fl_str_mv Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
dc.title.alternative.eng.fl_str_mv Mathematical models for reducing the likely spectrum and detection of human skin tones in color images represented in the RGB and HSV color spaces
title Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
spellingShingle Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
Feitosa, Rafael Divino Ferreira
Detecção de pele
Pele humana
Segmentação de cor
Modelo matemático
RGB
HSV
Skin detection
Human skin
Color segmentation
Mathematical model
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
title_short Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
title_full Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
title_fullStr Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
title_full_unstemmed Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
title_sort Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV
author Feitosa, Rafael Divino Ferreira
author_facet Feitosa, Rafael Divino Ferreira
author_role author
dc.contributor.advisor1.fl_str_mv Oliveira, Leandro Luís Galdino
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/5899392002875573
dc.contributor.referee1.fl_str_mv Oliveira, Leandro Luís Galdino de
dc.contributor.referee2.fl_str_mv Soares, Fabrízzio Alphonsus Alves de Melo Nunes
dc.contributor.referee3.fl_str_mv Silva, Solange da
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/4739463636062171
dc.contributor.author.fl_str_mv Feitosa, Rafael Divino Ferreira
contributor_str_mv Oliveira, Leandro Luís Galdino
Oliveira, Leandro Luís Galdino de
Soares, Fabrízzio Alphonsus Alves de Melo Nunes
Silva, Solange da
dc.subject.por.fl_str_mv Detecção de pele
Pele humana
Segmentação de cor
Modelo matemático
RGB
HSV
topic Detecção de pele
Pele humana
Segmentação de cor
Modelo matemático
RGB
HSV
Skin detection
Human skin
Color segmentation
Mathematical model
CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
dc.subject.eng.fl_str_mv Skin detection
Human skin
Color segmentation
Mathematical model
dc.subject.cnpq.fl_str_mv CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
description Skin detection techniques are widely applied to locate and to track parts of the human body with the objective of posterior recognition, having received great attention in recent years in the development of research in reason to the innumerable possible applications with the detection and tracking of faces, identification of naked people, identification of hand movements, among others. The present work proposed the construction of mathematical models for the detection of human skin tones such as, white, yellow, brown and black in digital color images in the RGB and HSV color spaces. Using a set of human skin tone samples, mathematical models were constructed describing how the variables of each color pixel in the RGB and HSV systems interrelate. To understand the answer of the proposed system, the mechanistic model was chosen, dividing it into components, observing the behavior of each part and the interactions that occurred between them. The proposed RGB filter reached a 98.3657% reduction index of the spectrum, classifying only 1.6343% (253,159 tones) as possible skin tones and the HSV model reduced the likely spectrum to 2.5352% (94,030 tones), discarding 97.4648% of the colors as candidates for human skin tones. When the proposed filters, were applied to the reduction of the probable range of human skin tones, well-defined bands in the geometric representation of the color spaces were selected. The experimental validation of the effectiveness of the RGB model showed that the proposed filter has conservative characteristics in the detection of skin, mistakenly classifying as skin only 6.7163% of the sample space. The proposed RGB filter has low sensitivity of 61.0831% and high specificity of 95.2769% in the detection of human skin in digital images. The HSV model had rates of (54,6333%) low sensitivity and (92,6390%) high specificity, considered low when compared to the performance of the other algorithms.
publishDate 2015
dc.date.accessioned.fl_str_mv 2015-10-23T18:25:45Z
dc.date.issued.fl_str_mv 2015-04-14
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identifier_str_mv FEITOSA, R. D. F. Modelos matemáticos para redução do espectro provável e detecção de tons de pele humana em imagens coloridas representadas nos espaços de cores RGB e HSV. 2015. 110 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal de Goiás, Goiânia, 2015.
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bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
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MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)
repository.mail.fl_str_mv tasesdissertacoes.bc@ufg.br
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