Using a simple digital camera and SPA-LDA modeling to screen teas
- Autores
- Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; Nascimento, Elaine C. L.; Pistonesi, Marcelo Fabian; Fernández Band, Beatriz Susana; Araújo, Mário C. U.
- Año de publicación
- 2012
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.
Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; Brasil
Fil: Dantas, Hebertty V.. Universidade Federal da Paraíba; Brasil
Fil: Melo, Karla D. T.. Universidade Federal da Paraíba; Brasil
Fil: Barbosa, Mayara F.. Universidade Federal da Paraíba; Brasil
Fil: Harding, David P.. Universidade Federal da Paraíba; Brasil
Fil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; Brasil
Fil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina
Fil: Araújo, Mário C. U.. Universidade Federal da Paraíba; Brasil - Materia
-
Screening Teas
Digital Camera
Spa-Lda - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/60837
Ver los metadatos del registro completo
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Using a simple digital camera and SPA-LDA modeling to screen teasDiniz, Paulo H. G. D.Dantas, Hebertty V.Melo, Karla D. T.Barbosa, Mayara F.Harding, David P.Nascimento, Elaine C. L.Pistonesi, Marcelo FabianFernández Band, Beatriz SusanaAraújo, Mário C. U.Screening TeasDigital CameraSpa-Ldahttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils.Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; BrasilFil: Dantas, Hebertty V.. Universidade Federal da Paraíba; BrasilFil: Melo, Karla D. T.. Universidade Federal da Paraíba; BrasilFil: Barbosa, Mayara F.. Universidade Federal da Paraíba; BrasilFil: Harding, David P.. Universidade Federal da Paraíba; BrasilFil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; BrasilFil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; ArgentinaFil: Araújo, Mário C. U.. Universidade Federal da Paraíba; BrasilRoyal Society of Chemistry2012-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/60837Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-26521759-96601759-9679CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://pubs.rsc.org/en/content/articlelanding/2012/ay/c2ay25481f#!divAbstractinfo:eu-repo/semantics/altIdentifier/doi/10.1039/c2ay25481finfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:10:18Zoai:ri.conicet.gov.ar:11336/60837instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 15:10:18.433CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Using a simple digital camera and SPA-LDA modeling to screen teas |
title |
Using a simple digital camera and SPA-LDA modeling to screen teas |
spellingShingle |
Using a simple digital camera and SPA-LDA modeling to screen teas Diniz, Paulo H. G. D. Screening Teas Digital Camera Spa-Lda |
title_short |
Using a simple digital camera and SPA-LDA modeling to screen teas |
title_full |
Using a simple digital camera and SPA-LDA modeling to screen teas |
title_fullStr |
Using a simple digital camera and SPA-LDA modeling to screen teas |
title_full_unstemmed |
Using a simple digital camera and SPA-LDA modeling to screen teas |
title_sort |
Using a simple digital camera and SPA-LDA modeling to screen teas |
dc.creator.none.fl_str_mv |
Diniz, Paulo H. G. D. Dantas, Hebertty V. Melo, Karla D. T. Barbosa, Mayara F. Harding, David P. Nascimento, Elaine C. L. Pistonesi, Marcelo Fabian Fernández Band, Beatriz Susana Araújo, Mário C. U. |
author |
Diniz, Paulo H. G. D. |
author_facet |
Diniz, Paulo H. G. D. Dantas, Hebertty V. Melo, Karla D. T. Barbosa, Mayara F. Harding, David P. Nascimento, Elaine C. L. Pistonesi, Marcelo Fabian Fernández Band, Beatriz Susana Araújo, Mário C. U. |
author_role |
author |
author2 |
Dantas, Hebertty V. Melo, Karla D. T. Barbosa, Mayara F. Harding, David P. Nascimento, Elaine C. L. Pistonesi, Marcelo Fabian Fernández Band, Beatriz Susana Araújo, Mário C. U. |
author2_role |
author author author author author author author author |
dc.subject.none.fl_str_mv |
Screening Teas Digital Camera Spa-Lda |
topic |
Screening Teas Digital Camera Spa-Lda |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.4 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils. Fil: Diniz, Paulo H. G. D.. Universidade Federal da Paraíba; Brasil Fil: Dantas, Hebertty V.. Universidade Federal da Paraíba; Brasil Fil: Melo, Karla D. T.. Universidade Federal da Paraíba; Brasil Fil: Barbosa, Mayara F.. Universidade Federal da Paraíba; Brasil Fil: Harding, David P.. Universidade Federal da Paraíba; Brasil Fil: Nascimento, Elaine C. L.. Universidade Federal da Paraíba; Brasil Fil: Pistonesi, Marcelo Fabian. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina Fil: Fernández Band, Beatriz Susana. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Química del Sur. Universidad Nacional del Sur. Departamento de Química. Instituto de Química del Sur; Argentina Fil: Araújo, Mário C. U.. Universidade Federal da Paraíba; Brasil |
description |
Classification or screening analysis of natural unprocessed teas using simple digital images and a variable selection algorithm is described. The proposed methodology uses color histograms generated on free downloadable software ImageJ 1.44p as a source of analytical information. Two chemometric methods were compared for classification of the resulting images, namely Soft Independent Modeling of Class Analogy (SIMCA), and Linear Discriminant Analysis (LDA) with variable selection by the Successive Projections Algorithm (SPA). The results were evaluated in terms of errors found in a sample set separate from the modeling process. The choice of more informative photometric color attributes (red-green-blue (RGB), hue (H), saturation (S), brightness (B), and grayscale) for screening the tea samples was made during the color modeling because SIMCA failed to give good results. Therefore the data treatment used SPA-LDA, which correctly classified all samples according to their geographical regions, whether from Brazilian, Argentinian or foreign soils. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-07 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/60837 Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-2652 1759-9660 1759-9679 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/60837 |
identifier_str_mv |
Diniz, Paulo H. G. D.; Dantas, Hebertty V.; Melo, Karla D. T.; Barbosa, Mayara F.; Harding, David P.; et al.; Using a simple digital camera and SPA-LDA modeling to screen teas; Royal Society of Chemistry; Analytical Methods; 4; 9; 7-2012; 2648-2652 1759-9660 1759-9679 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://pubs.rsc.org/en/content/articlelanding/2012/ay/c2ay25481f#!divAbstract info:eu-repo/semantics/altIdentifier/doi/10.1039/c2ay25481f |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Royal Society of Chemistry |
publisher.none.fl_str_mv |
Royal Society of Chemistry |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1846083251374915584 |
score |
13.22299 |