A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing

Autores
Botterón, Fernando; Pérez, C. X.
Año de publicación
2013
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper discusses the implementation of the digital image processing techniques as a method for estimating the contents of twigs in samples of yerba mate. The hardware used in this paper, to obtain the analyzed images, consists of a desktop scanner and a personal computer. Then, using the designed and developed software for this purpose, the digital images obtained were processed and analyzed using a basic segmentation technique such as binarization with histogram thresholding. This paper compares two methods for estimating weight ratios from the binarized image. Preliminary experimental results using the proposed techniques, suggest that it may be estimated with an error less than 4% the percentage of twigs in a given batch of images. The speediness, simpleness and efficiency of the test, compared with current techniques, as well as, the reduced cost of the associated hardware, presents a viable, inexpensive and straightforward
Fil: Botterón, Fernando. Universidad Nacional de Misiones. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pérez, C. X.. Universidad Nacional de Misiones. Facultad de Ingenieria; Argentina
Materia
Digital Image Processing
Yerba Mate
Quality Control
Iram 20514
Scanner
Segmentation
Histogram Thresholding
Binarization
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/9099
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/9099
network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image ProcessingBotterón, FernandoPérez, C. X.Digital Image ProcessingYerba MateQuality ControlIram 20514ScannerSegmentationHistogram ThresholdingBinarizationhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper discusses the implementation of the digital image processing techniques as a method for estimating the contents of twigs in samples of yerba mate. The hardware used in this paper, to obtain the analyzed images, consists of a desktop scanner and a personal computer. Then, using the designed and developed software for this purpose, the digital images obtained were processed and analyzed using a basic segmentation technique such as binarization with histogram thresholding. This paper compares two methods for estimating weight ratios from the binarized image. Preliminary experimental results using the proposed techniques, suggest that it may be estimated with an error less than 4% the percentage of twigs in a given batch of images. The speediness, simpleness and efficiency of the test, compared with current techniques, as well as, the reduced cost of the associated hardware, presents a viable, inexpensive and straightforwardFil: Botterón, Fernando. Universidad Nacional de Misiones. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Pérez, C. X.. Universidad Nacional de Misiones. Facultad de Ingenieria; ArgentinaInstitute Of Electrical And Electronics Engineers2013-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9099Botterón, Fernando; Pérez, C. X.; A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 2-2013; 21-261548-0992spainfo:eu-repo/semantics/altIdentifier/url/http://www.ewh.ieee.org/reg/9/etrans/ieee/issues/vol11/vol11issue1Feb.2013/04XiscattiPerez.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:38:20Zoai:ri.conicet.gov.ar:11336/9099instacron: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 14:38:20.42CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
title A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
spellingShingle A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
Botterón, Fernando
Digital Image Processing
Yerba Mate
Quality Control
Iram 20514
Scanner
Segmentation
Histogram Thresholding
Binarization
title_short A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
title_full A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
title_fullStr A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
title_full_unstemmed A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
title_sort A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing
dc.creator.none.fl_str_mv Botterón, Fernando
Pérez, C. X.
author Botterón, Fernando
author_facet Botterón, Fernando
Pérez, C. X.
author_role author
author2 Pérez, C. X.
author2_role author
dc.subject.none.fl_str_mv Digital Image Processing
Yerba Mate
Quality Control
Iram 20514
Scanner
Segmentation
Histogram Thresholding
Binarization
topic Digital Image Processing
Yerba Mate
Quality Control
Iram 20514
Scanner
Segmentation
Histogram Thresholding
Binarization
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper discusses the implementation of the digital image processing techniques as a method for estimating the contents of twigs in samples of yerba mate. The hardware used in this paper, to obtain the analyzed images, consists of a desktop scanner and a personal computer. Then, using the designed and developed software for this purpose, the digital images obtained were processed and analyzed using a basic segmentation technique such as binarization with histogram thresholding. This paper compares two methods for estimating weight ratios from the binarized image. Preliminary experimental results using the proposed techniques, suggest that it may be estimated with an error less than 4% the percentage of twigs in a given batch of images. The speediness, simpleness and efficiency of the test, compared with current techniques, as well as, the reduced cost of the associated hardware, presents a viable, inexpensive and straightforward
Fil: Botterón, Fernando. Universidad Nacional de Misiones. Facultad de Ingenieria; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Pérez, C. X.. Universidad Nacional de Misiones. Facultad de Ingenieria; Argentina
description This paper discusses the implementation of the digital image processing techniques as a method for estimating the contents of twigs in samples of yerba mate. The hardware used in this paper, to obtain the analyzed images, consists of a desktop scanner and a personal computer. Then, using the designed and developed software for this purpose, the digital images obtained were processed and analyzed using a basic segmentation technique such as binarization with histogram thresholding. This paper compares two methods for estimating weight ratios from the binarized image. Preliminary experimental results using the proposed techniques, suggest that it may be estimated with an error less than 4% the percentage of twigs in a given batch of images. The speediness, simpleness and efficiency of the test, compared with current techniques, as well as, the reduced cost of the associated hardware, presents a viable, inexpensive and straightforward
publishDate 2013
dc.date.none.fl_str_mv 2013-02
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/11336/9099
Botterón, Fernando; Pérez, C. X.; A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 2-2013; 21-26
1548-0992
url http://hdl.handle.net/11336/9099
identifier_str_mv Botterón, Fernando; Pérez, C. X.; A Practical Approach for Segmentation of Twigs on Samples of Yerba Mate by Digital Image Processing; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 11; 1; 2-2013; 21-26
1548-0992
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.ewh.ieee.org/reg/9/etrans/ieee/issues/vol11/vol11issue1Feb.2013/04XiscattiPerez.htm
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
dc.publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection 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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score 13.22299

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