Characterisation of liquid food colour from digital images

Autores
Segura, Luis Ignacio; Salvadori, Viviana Olga; Goñi, Sandro Mauricio
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The characteristic colour of translucent liquid foods is defined as the colour values at infinite depth, where the liquid depth and the background effects are surpassed. A measurement cell with variable depth was built, and the L*a*b* colour was measured from digital images. Colour versus depth was fitted to an exponential equation, from which the characteristic colour was obtained. Thirteen different liquids were tested with this methodology and compared with spectrophotometer measurements. The average total colour difference between approaches was 50.85 ± 18.89. Image analysis led to more realistic predictions, and a high correlation between Hue angle values was obtained for most samples, with the exception of only one.
Facultad de Ingeniería
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
Materia
Ingeniería
Ciencias Exactas
Beverages
Colour
Food property
Food quality
Image analysis
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/87111
Acceder
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repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Characterisation of liquid food colour from digital imagesSegura, Luis IgnacioSalvadori, Viviana OlgaGoñi, Sandro MauricioIngenieríaCiencias ExactasBeveragesColourFood propertyFood qualityImage analysisThe characteristic colour of translucent liquid foods is defined as the colour values at infinite depth, where the liquid depth and the background effects are surpassed. A measurement cell with variable depth was built, and the L*a*b* colour was measured from digital images. Colour versus depth was fitted to an exponential equation, from which the characteristic colour was obtained. Thirteen different liquids were tested with this methodology and compared with spectrophotometer measurements. The average total colour difference between approaches was 50.85 ± 18.89. Image analysis led to more realistic predictions, and a high correlation between Hue angle values was obtained for most samples, with the exception of only one.Facultad de IngenieríaCentro de Investigación y Desarrollo en Criotecnología de Alimentos2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfS467-S477http://sedici.unlp.edu.ar/handle/10915/87111enginfo:eu-repo/semantics/altIdentifier/issn/1094-2912info:eu-repo/semantics/altIdentifier/doi/10.1080/10942912.2017.1299758info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:17:09Zoai:sedici.unlp.edu.ar:10915/87111Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:17:10.162SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Characterisation of liquid food colour from digital images
title Characterisation of liquid food colour from digital images
spellingShingle Characterisation of liquid food colour from digital images
Segura, Luis Ignacio
Ingeniería
Ciencias Exactas
Beverages
Colour
Food property
Food quality
Image analysis
title_short Characterisation of liquid food colour from digital images
title_full Characterisation of liquid food colour from digital images
title_fullStr Characterisation of liquid food colour from digital images
title_full_unstemmed Characterisation of liquid food colour from digital images
title_sort Characterisation of liquid food colour from digital images
dc.creator.none.fl_str_mv Segura, Luis Ignacio
Salvadori, Viviana Olga
Goñi, Sandro Mauricio
author Segura, Luis Ignacio
author_facet Segura, Luis Ignacio
Salvadori, Viviana Olga
Goñi, Sandro Mauricio
author_role author
author2 Salvadori, Viviana Olga
Goñi, Sandro Mauricio
author2_role author
author
dc.subject.none.fl_str_mv Ingeniería
Ciencias Exactas
Beverages
Colour
Food property
Food quality
Image analysis
topic Ingeniería
Ciencias Exactas
Beverages
Colour
Food property
Food quality
Image analysis
dc.description.none.fl_txt_mv The characteristic colour of translucent liquid foods is defined as the colour values at infinite depth, where the liquid depth and the background effects are surpassed. A measurement cell with variable depth was built, and the L*a*b* colour was measured from digital images. Colour versus depth was fitted to an exponential equation, from which the characteristic colour was obtained. Thirteen different liquids were tested with this methodology and compared with spectrophotometer measurements. The average total colour difference between approaches was 50.85 ± 18.89. Image analysis led to more realistic predictions, and a high correlation between Hue angle values was obtained for most samples, with the exception of only one.
Facultad de Ingeniería
Centro de Investigación y Desarrollo en Criotecnología de Alimentos
description The characteristic colour of translucent liquid foods is defined as the colour values at infinite depth, where the liquid depth and the background effects are surpassed. A measurement cell with variable depth was built, and the L*a*b* colour was measured from digital images. Colour versus depth was fitted to an exponential equation, from which the characteristic colour was obtained. Thirteen different liquids were tested with this methodology and compared with spectrophotometer measurements. The average total colour difference between approaches was 50.85 ± 18.89. Image analysis led to more realistic predictions, and a high correlation between Hue angle values was obtained for most samples, with the exception of only one.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/87111
url http://sedici.unlp.edu.ar/handle/10915/87111
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1094-2912
info:eu-repo/semantics/altIdentifier/doi/10.1080/10942912.2017.1299758
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
S467-S477
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.070432

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