Application of optimum-path forest classifier for synthetic material porosity segmentation

Detalhes bibliográficos
Autor(a) principal: Victor H. C. Albuquerque
Data de Publicação: 2010
Outros Autores: João P. Papa, Alexandre X. Falcão, Pedro P. R. Filho, João Manuel Ribeiro da Silva Tavares
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/23228
Resumo: This paper presents a new application and evaluation of the Optimum-Path Forest (OPF) classifier to accomplish synthetic material porosity segmentation and quantification obtained from optical microscopic images. Sample images of a synthetic material were analyzed and the quality of the results was confirmed by human visual analysis. Additionally, the OPF results were compared against two different Support Vector Machines approaches, confirming the OPF superior fast and reliable qualities for this analysis purpose. Thus, the Optimum-Path Forest classier demonstrated to be a valid and adequate tool for microstructure characterization through porosity segmentation and quantification using microscopic images, manly due its fast, efficient and reliable manner.
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spelling Application of optimum-path forest classifier for synthetic material porosity segmentationProcessamento de imagem, Engenharia mecânicaImage processing, Mechanical engineeringThis paper presents a new application and evaluation of the Optimum-Path Forest (OPF) classifier to accomplish synthetic material porosity segmentation and quantification obtained from optical microscopic images. Sample images of a synthetic material were analyzed and the quality of the results was confirmed by human visual analysis. Additionally, the OPF results were compared against two different Support Vector Machines approaches, confirming the OPF superior fast and reliable qualities for this analysis purpose. Thus, the Optimum-Path Forest classier demonstrated to be a valid and adequate tool for microstructure characterization through porosity segmentation and quantification using microscopic images, manly due its fast, efficient and reliable manner.20102010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/23228engVictor H. C. AlbuquerqueJoão P. PapaAlexandre X. FalcãoPedro P. R. FilhoJoão Manuel Ribeiro da Silva Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:39:10Zoai:repositorio-aberto.up.pt:10216/23228Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:28:48.870626Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Application of optimum-path forest classifier for synthetic material porosity segmentation
title Application of optimum-path forest classifier for synthetic material porosity segmentation
spellingShingle Application of optimum-path forest classifier for synthetic material porosity segmentation
Victor H. C. Albuquerque
Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
title_short Application of optimum-path forest classifier for synthetic material porosity segmentation
title_full Application of optimum-path forest classifier for synthetic material porosity segmentation
title_fullStr Application of optimum-path forest classifier for synthetic material porosity segmentation
title_full_unstemmed Application of optimum-path forest classifier for synthetic material porosity segmentation
title_sort Application of optimum-path forest classifier for synthetic material porosity segmentation
author Victor H. C. Albuquerque
author_facet Victor H. C. Albuquerque
João P. Papa
Alexandre X. Falcão
Pedro P. R. Filho
João Manuel Ribeiro da Silva Tavares
author_role author
author2 João P. Papa
Alexandre X. Falcão
Pedro P. R. Filho
João Manuel Ribeiro da Silva Tavares
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Victor H. C. Albuquerque
João P. Papa
Alexandre X. Falcão
Pedro P. R. Filho
João Manuel Ribeiro da Silva Tavares
dc.subject.por.fl_str_mv Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
topic Processamento de imagem, Engenharia mecânica
Image processing, Mechanical engineering
description This paper presents a new application and evaluation of the Optimum-Path Forest (OPF) classifier to accomplish synthetic material porosity segmentation and quantification obtained from optical microscopic images. Sample images of a synthetic material were analyzed and the quality of the results was confirmed by human visual analysis. Additionally, the OPF results were compared against two different Support Vector Machines approaches, confirming the OPF superior fast and reliable qualities for this analysis purpose. Thus, the Optimum-Path Forest classier demonstrated to be a valid and adequate tool for microstructure characterization through porosity segmentation and quantification using microscopic images, manly due its fast, efficient and reliable manner.
publishDate 2010
dc.date.none.fl_str_mv 2010
2010-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/book
format book
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio-aberto.up.pt/handle/10216/23228
url https://repositorio-aberto.up.pt/handle/10216/23228
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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