Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets

Detalhes bibliográficos
Autor(a) principal: De Siqueira, Alexandre Fioravante [UNESP]
Data de Publicação: 2014
Outros Autores: Cabrera, Flavio Camargo [UNESP], Pagamisse, Aylton [UNESP], Job, Aldo Eloizo [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1002/jemt.22314
http://hdl.handle.net/11449/113389
Resumo: Electronic microscopy has been used for morphology evaluation of different materials structures. However, microscopy results may be affected by several factors. Image processing methods can be used to correct and improve the quality of these results. In this article, we propose an algorithm based on starlets to perform the segmentation of scanning electron microscopy images. An application is presented in order to locate gold nanoparticles in natural rubber membranes. In this application, our method showed accuracy greater than 85% for all test images. Results given by this method will be used in future studies, to computationally estimate the density distribution of gold nanoparticles in natural rubber samples and to predict reduction kinetics of gold nanoparticles at different time periods. Microsc. Res. Tech. 77:71-78, 2014. (c) 2013 Wiley Periodicals, Inc.
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spelling Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Waveletsimage processinggold nanoparticlesnatural rubberscanning electron microscopywaveletsElectronic microscopy has been used for morphology evaluation of different materials structures. However, microscopy results may be affected by several factors. Image processing methods can be used to correct and improve the quality of these results. In this article, we propose an algorithm based on starlets to perform the segmentation of scanning electron microscopy images. An application is presented in order to locate gold nanoparticles in natural rubber membranes. In this application, our method showed accuracy greater than 85% for all test images. Results given by this method will be used in future studies, to computationally estimate the density distribution of gold nanoparticles in natural rubber samples and to predict reduction kinetics of gold nanoparticles at different time periods. Microsc. Res. Tech. 77:71-78, 2014. (c) 2013 Wiley Periodicals, Inc.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Univ Estadual Paulista, FCT, DFQB, BR-19060900 Sao Paulo, BrazilUniv Estadual Paulista, FCT, DMC, BR-19060900 Sao Paulo, BrazilUniv Estadual Paulista, FCT, DFQB, BR-19060900 Sao Paulo, BrazilUniv Estadual Paulista, FCT, DMC, BR-19060900 Sao Paulo, BrazilFAPESP: 10/03282-9FAPESP: 11/09438-3Wiley-BlackwellUniversidade Estadual Paulista (Unesp)De Siqueira, Alexandre Fioravante [UNESP]Cabrera, Flavio Camargo [UNESP]Pagamisse, Aylton [UNESP]Job, Aldo Eloizo [UNESP]2014-12-03T13:11:40Z2014-12-03T13:11:40Z2014-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article71-78http://dx.doi.org/10.1002/jemt.22314Microscopy Research And Technique. Hoboken: Wiley-blackwell, v. 77, n. 1, p. 71-78, 2014.1059-910Xhttp://hdl.handle.net/11449/11338910.1002/jemt.22314WOS:00032834910001003042718462294716475585105456744Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMicroscopy Research and Technique1.087info:eu-repo/semantics/openAccess2024-06-19T12:44:23Zoai:repositorio.unesp.br:11449/113389Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:18:35.099627Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
title Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
spellingShingle Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
De Siqueira, Alexandre Fioravante [UNESP]
image processing
gold nanoparticles
natural rubber
scanning electron microscopy
wavelets
title_short Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
title_full Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
title_fullStr Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
title_full_unstemmed Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
title_sort Segmentation of Scanning Electron Microscopy Images From Natural Rubber Samples With Gold Nanoparticles Using Starlet Wavelets
author De Siqueira, Alexandre Fioravante [UNESP]
author_facet De Siqueira, Alexandre Fioravante [UNESP]
Cabrera, Flavio Camargo [UNESP]
Pagamisse, Aylton [UNESP]
Job, Aldo Eloizo [UNESP]
author_role author
author2 Cabrera, Flavio Camargo [UNESP]
Pagamisse, Aylton [UNESP]
Job, Aldo Eloizo [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv De Siqueira, Alexandre Fioravante [UNESP]
Cabrera, Flavio Camargo [UNESP]
Pagamisse, Aylton [UNESP]
Job, Aldo Eloizo [UNESP]
dc.subject.por.fl_str_mv image processing
gold nanoparticles
natural rubber
scanning electron microscopy
wavelets
topic image processing
gold nanoparticles
natural rubber
scanning electron microscopy
wavelets
description Electronic microscopy has been used for morphology evaluation of different materials structures. However, microscopy results may be affected by several factors. Image processing methods can be used to correct and improve the quality of these results. In this article, we propose an algorithm based on starlets to perform the segmentation of scanning electron microscopy images. An application is presented in order to locate gold nanoparticles in natural rubber membranes. In this application, our method showed accuracy greater than 85% for all test images. Results given by this method will be used in future studies, to computationally estimate the density distribution of gold nanoparticles in natural rubber samples and to predict reduction kinetics of gold nanoparticles at different time periods. Microsc. Res. Tech. 77:71-78, 2014. (c) 2013 Wiley Periodicals, Inc.
publishDate 2014
dc.date.none.fl_str_mv 2014-12-03T13:11:40Z
2014-12-03T13:11:40Z
2014-01-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1002/jemt.22314
Microscopy Research And Technique. Hoboken: Wiley-blackwell, v. 77, n. 1, p. 71-78, 2014.
1059-910X
http://hdl.handle.net/11449/113389
10.1002/jemt.22314
WOS:000328349100010
0304271846229471
6475585105456744
url http://dx.doi.org/10.1002/jemt.22314
http://hdl.handle.net/11449/113389
identifier_str_mv Microscopy Research And Technique. Hoboken: Wiley-blackwell, v. 77, n. 1, p. 71-78, 2014.
1059-910X
10.1002/jemt.22314
WOS:000328349100010
0304271846229471
6475585105456744
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Microscopy Research and Technique
1.087
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 71-78
dc.publisher.none.fl_str_mv Wiley-Blackwell
publisher.none.fl_str_mv Wiley-Blackwell
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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