Color analysis of horticultural produces using hue spectra fingerprinting

Color has great importance in agriculture due to its relationship with plant pigments and therefore, plant development and biochemical changes. Due to the trichromatic vision, instruments equipped with CCD or CMOS sensor represent color with the mixture of red, green and blue signals. These values a...

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Autores principales:	Lien Le Phuong Nguyen, László Baranyai, Dávid Nagy, Pramod V. Mahajan, Viktória Zsom-Muha, Tamás Zsom
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Fruit and vegetable color Machine vision Digital image processing Postharvest technology Science Q
Acceso en línea:	https://doaj.org/article/d936ab6bf8c94dcf86c8015a634e86b0
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spelling	oai:doaj.org-article:d936ab6bf8c94dcf86c8015a634e86b02021-12-04T04:34:25ZColor analysis of horticultural produces using hue spectra fingerprinting2215-016110.1016/j.mex.2021.101594https://doaj.org/article/d936ab6bf8c94dcf86c8015a634e86b02021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2215016121003848https://doaj.org/toc/2215-0161Color has great importance in agriculture due to its relationship with plant pigments and therefore, plant development and biochemical changes. Due to the trichromatic vision, instruments equipped with CCD or CMOS sensor represent color with the mixture of red, green and blue signals. These values are often transformed into HSL (hue, saturation, luminance) color space. Beyond average color of the visible surface area, histograms can represent color distribution. Interpretation of distribution can be challenging due to the information shared among histograms. Hue spectra fingerprinting offers color information suitable for analysis with common chemometric methods and easy to understand. Algorithm is presented with GNU Octave code. • Hue spectra is a histogram of hue angle over the captured scene but summarizes saturation instead of number of pixels. There are peaks of important colors, while others of low saturation disappear. Neutral backgrounds such as white, black or gray, are removed without the need of segmentation. • Color changes of fruits and vegetables are represented by displacement of color peaks. Since saturation is usually changing during ripening, storage and shelf life, peaks also change their shape by means of peak value and width.Lien Le Phuong NguyenLászló BaranyaiDávid NagyPramod V. MahajanViktória Zsom-MuhaTamás ZsomElsevierarticleFruit and vegetable colorMachine visionDigital image processingPostharvest technologyScienceQENMethodsX, Vol 8, Iss , Pp 101594- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Fruit and vegetable color Machine vision Digital image processing Postharvest technology Science Q
spellingShingle	Fruit and vegetable color Machine vision Digital image processing Postharvest technology Science Q Lien Le Phuong Nguyen László Baranyai Dávid Nagy Pramod V. Mahajan Viktória Zsom-Muha Tamás Zsom Color analysis of horticultural produces using hue spectra fingerprinting
description	Color has great importance in agriculture due to its relationship with plant pigments and therefore, plant development and biochemical changes. Due to the trichromatic vision, instruments equipped with CCD or CMOS sensor represent color with the mixture of red, green and blue signals. These values are often transformed into HSL (hue, saturation, luminance) color space. Beyond average color of the visible surface area, histograms can represent color distribution. Interpretation of distribution can be challenging due to the information shared among histograms. Hue spectra fingerprinting offers color information suitable for analysis with common chemometric methods and easy to understand. Algorithm is presented with GNU Octave code. • Hue spectra is a histogram of hue angle over the captured scene but summarizes saturation instead of number of pixels. There are peaks of important colors, while others of low saturation disappear. Neutral backgrounds such as white, black or gray, are removed without the need of segmentation. • Color changes of fruits and vegetables are represented by displacement of color peaks. Since saturation is usually changing during ripening, storage and shelf life, peaks also change their shape by means of peak value and width.
format	article
author	Lien Le Phuong Nguyen László Baranyai Dávid Nagy Pramod V. Mahajan Viktória Zsom-Muha Tamás Zsom
author_facet	Lien Le Phuong Nguyen László Baranyai Dávid Nagy Pramod V. Mahajan Viktória Zsom-Muha Tamás Zsom
author_sort	Lien Le Phuong Nguyen
title	Color analysis of horticultural produces using hue spectra fingerprinting
title_short	Color analysis of horticultural produces using hue spectra fingerprinting
title_full	Color analysis of horticultural produces using hue spectra fingerprinting
title_fullStr	Color analysis of horticultural produces using hue spectra fingerprinting
title_full_unstemmed	Color analysis of horticultural produces using hue spectra fingerprinting
title_sort	color analysis of horticultural produces using hue spectra fingerprinting
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/d936ab6bf8c94dcf86c8015a634e86b0
work_keys_str_mv	AT lienlephuongnguyen coloranalysisofhorticulturalproducesusinghuespectrafingerprinting AT laszlobaranyai coloranalysisofhorticulturalproducesusinghuespectrafingerprinting AT davidnagy coloranalysisofhorticulturalproducesusinghuespectrafingerprinting AT pramodvmahajan coloranalysisofhorticulturalproducesusinghuespectrafingerprinting AT viktoriazsommuha coloranalysisofhorticulturalproducesusinghuespectrafingerprinting AT tamaszsom coloranalysisofhorticulturalproducesusinghuespectrafingerprinting
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Color analysis of horticultural produces using hue spectra fingerprinting

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