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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/9099
Ver los metadatos del registro completo
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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 Técnicas2025-09-29T09:44:45Zoai: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:34982025-09-29 09:44:45.538CONICET 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 |
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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 |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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