Analysis of strawberry ripening by dynamic speckle measurements

Autores
Mulone, C.; Budini, Nicolas; Vincitorio, F. M.; Freyre, C.; López Díaz, A. J.; Ramil Rego, A.
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work seeks to determine the age of a fruit from observation of its dynamic speckle pattern. A mobile speckle pattern originates on the fruit's surface due to the interference of the wavefronts reflected from moving scatterers. For this work we analyzed two series of photographs of a strawberry speckle pattern, at different stages of ripening, acquired with a CMOS camera. The first day, we took ten photographs at an interval of one second. The same procedure was repeated the next day. From each series of images we extracted several statistical descriptors of pixel-to-pixel gray level variation during the observation time. By comparing these values from the first to the second day we noticed a diminution of the speckle activity. This decay demonstrated that after only one day the ripening process of the strawberry can be detected by dynamic speckle pattern analysis. For this study we employed a simple new algorithm to process the data obtained from the photographs. This algorithm allows defining a global mobility index that indicates the evolution of the fruit's ripening.
Fil: Mulone, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: Budini, Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET- Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Santa Fe. Instituto de Física del Litoral; Argentina
Fil: Vincitorio, F. M.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: Freyre, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: López Díaz, A. J.. Universidad da Coruña; España;
Fil: Ramil Rego, A.. Universidad da Coruña; España;
Materia
Dynamic Speckle
Biospeckle
Mobility Index
Fruit Maturation
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:11336/1960
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/1960
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Analysis of strawberry ripening by dynamic speckle measurementsMulone, C.Budini, NicolasVincitorio, F. M.Freyre, C.López Díaz, A. J.Ramil Rego, A.Dynamic SpeckleBiospeckleMobility IndexFruit Maturationhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1This work seeks to determine the age of a fruit from observation of its dynamic speckle pattern. A mobile speckle pattern originates on the fruit's surface due to the interference of the wavefronts reflected from moving scatterers. For this work we analyzed two series of photographs of a strawberry speckle pattern, at different stages of ripening, acquired with a CMOS camera. The first day, we took ten photographs at an interval of one second. The same procedure was repeated the next day. From each series of images we extracted several statistical descriptors of pixel-to-pixel gray level variation during the observation time. By comparing these values from the first to the second day we noticed a diminution of the speckle activity. This decay demonstrated that after only one day the ripening process of the strawberry can be detected by dynamic speckle pattern analysis. For this study we employed a simple new algorithm to process the data obtained from the photographs. This algorithm allows defining a global mobility index that indicates the evolution of the fruit's ripening.Fil: Mulone, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; ArgentinaFil: Budini, Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET- Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Santa Fe. Instituto de Física del Litoral; ArgentinaFil: Vincitorio, F. M.. Universidad Tecnológica Nacional. Facultad Regional Paraná; ArgentinaFil: Freyre, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; ArgentinaFil: López Díaz, A. J.. Universidad da Coruña; España;Fil: Ramil Rego, A.. Universidad da Coruña; España;SPIE2013-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/1960Mulone, C.; Budini, Nicolas; Vincitorio, F. M.; Freyre, C.; López Díaz, A. J.; et al.; Analysis of strawberry ripening by dynamic speckle measurements; SPIE; SPIE proceedings; 8785; 11-2013; 1-60277-786Xeng8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, edited by Manuel Filipe P. C. Martins Costa, Proc. of SPIE Vol. 8785, 87851Xinfo:eu-repo/semantics/altIdentifier/url/http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1782255info:eu-repo/semantics/altIdentifier/doi/10.1117/12.2022414info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:40:25Zoai:ri.conicet.gov.ar:11336/1960instacron: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 10:40:26.153CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Analysis of strawberry ripening by dynamic speckle measurements
title Analysis of strawberry ripening by dynamic speckle measurements
spellingShingle Analysis of strawberry ripening by dynamic speckle measurements
Mulone, C.
Dynamic Speckle
Biospeckle
Mobility Index
Fruit Maturation
title_short Analysis of strawberry ripening by dynamic speckle measurements
title_full Analysis of strawberry ripening by dynamic speckle measurements
title_fullStr Analysis of strawberry ripening by dynamic speckle measurements
title_full_unstemmed Analysis of strawberry ripening by dynamic speckle measurements
title_sort Analysis of strawberry ripening by dynamic speckle measurements
dc.creator.none.fl_str_mv Mulone, C.
Budini, Nicolas
Vincitorio, F. M.
Freyre, C.
López Díaz, A. J.
Ramil Rego, A.
author Mulone, C.
author_facet Mulone, C.
Budini, Nicolas
Vincitorio, F. M.
Freyre, C.
López Díaz, A. J.
Ramil Rego, A.
author_role author
author2 Budini, Nicolas
Vincitorio, F. M.
Freyre, C.
López Díaz, A. J.
Ramil Rego, A.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Dynamic Speckle
Biospeckle
Mobility Index
Fruit Maturation
topic Dynamic Speckle
Biospeckle
Mobility Index
Fruit Maturation
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv This work seeks to determine the age of a fruit from observation of its dynamic speckle pattern. A mobile speckle pattern originates on the fruit's surface due to the interference of the wavefronts reflected from moving scatterers. For this work we analyzed two series of photographs of a strawberry speckle pattern, at different stages of ripening, acquired with a CMOS camera. The first day, we took ten photographs at an interval of one second. The same procedure was repeated the next day. From each series of images we extracted several statistical descriptors of pixel-to-pixel gray level variation during the observation time. By comparing these values from the first to the second day we noticed a diminution of the speckle activity. This decay demonstrated that after only one day the ripening process of the strawberry can be detected by dynamic speckle pattern analysis. For this study we employed a simple new algorithm to process the data obtained from the photographs. This algorithm allows defining a global mobility index that indicates the evolution of the fruit's ripening.
Fil: Mulone, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: Budini, Nicolas. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET- Santa Fe. Instituto de Desarrollo Tecnológico para la Industria Química (i); Argentina. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico - CONICET - Santa Fe. Instituto de Física del Litoral; Argentina
Fil: Vincitorio, F. M.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: Freyre, C.. Universidad Tecnológica Nacional. Facultad Regional Paraná; Argentina
Fil: López Díaz, A. J.. Universidad da Coruña; España;
Fil: Ramil Rego, A.. Universidad da Coruña; España;
description This work seeks to determine the age of a fruit from observation of its dynamic speckle pattern. A mobile speckle pattern originates on the fruit's surface due to the interference of the wavefronts reflected from moving scatterers. For this work we analyzed two series of photographs of a strawberry speckle pattern, at different stages of ripening, acquired with a CMOS camera. The first day, we took ten photographs at an interval of one second. The same procedure was repeated the next day. From each series of images we extracted several statistical descriptors of pixel-to-pixel gray level variation during the observation time. By comparing these values from the first to the second day we noticed a diminution of the speckle activity. This decay demonstrated that after only one day the ripening process of the strawberry can be detected by dynamic speckle pattern analysis. For this study we employed a simple new algorithm to process the data obtained from the photographs. This algorithm allows defining a global mobility index that indicates the evolution of the fruit's ripening.
publishDate 2013
dc.date.none.fl_str_mv 2013-11
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/11336/1960
Mulone, C.; Budini, Nicolas; Vincitorio, F. M.; Freyre, C.; López Díaz, A. J.; et al.; Analysis of strawberry ripening by dynamic speckle measurements; SPIE; SPIE proceedings; 8785; 11-2013; 1-6
0277-786X
url http://hdl.handle.net/11336/1960
identifier_str_mv Mulone, C.; Budini, Nicolas; Vincitorio, F. M.; Freyre, C.; López Díaz, A. J.; et al.; Analysis of strawberry ripening by dynamic speckle measurements; SPIE; SPIE proceedings; 8785; 11-2013; 1-6
0277-786X
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, edited by Manuel Filipe P. C. Martins Costa, Proc. of SPIE Vol. 8785, 87851X
info:eu-repo/semantics/altIdentifier/url/http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=1782255
info:eu-repo/semantics/altIdentifier/doi/10.1117/12.2022414
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
dc.publisher.none.fl_str_mv SPIE
publisher.none.fl_str_mv SPIE
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
_version_ 1844614432199540736
score 13.070432

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