Texture and color analysis of lentils and rice for instant meal using image processing techniques

Typical approaches for measuring color and texture properties are mostly timeconsuming. An image-based method was used to evaluate texture and color in lentils and rice subjected to freeze-drying for an instant meal. Cooked and cooked freeze-dried rehydrated lentils and rice were analyzed by scannin...

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Main Authors: Pieniazek, Facundo, Sancho, Ana Maria, Messina, Valeria
Format: info:ar-repo/semantics/artículo
Language:Inglés
Published: 2019
Subjects:
Online Access:https://onlinelibrary.wiley.com/doi/10.1111/jfpp.12677
http://hdl.handle.net/20.500.12123/4700
https://doi.org/10.1111/jfpp.12677
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author Pieniazek, Facundo
Sancho, Ana Maria
Messina, Valeria
author_browse Messina, Valeria
Pieniazek, Facundo
Sancho, Ana Maria
author_facet Pieniazek, Facundo
Sancho, Ana Maria
Messina, Valeria
author_sort Pieniazek, Facundo
collection INTA Digital
description Typical approaches for measuring color and texture properties are mostly timeconsuming. An image-based method was used to evaluate texture and color in lentils and rice subjected to freeze-drying for an instant meal. Cooked and cooked freeze-dried rehydrated lentils and rice were analyzed by scanning electron microscopy. Texture properties were analyzed by texture analyzer and image analysis. Color was performed with a digital camera. Significant differences for color and texture (P < 0.05) were observed for cooked and cooked freeze-dried rehydrated lentils and rice. A linear trend with a linear correlation was applied for mechanical and image features. Results showed that image features such as contrast, correlation, energy and homogeneity calculated from Gray-level co-occurrence matrix had high correlations with mechanical features of hardness, adhesiveness, chewiness and gumminess for lentils, and for rice, mechanical features adhesiveness, gumminess and image features homogeneity and contrast. With this approach to quality, image processing techniques can be a useful tool.
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institution Instituto Nacional de Tecnología Agropecuaria (INTA -Argentina)
language Inglés
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publishDateRange 2019
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spelling INTA47002019-03-21T18:37:25Z Texture and color analysis of lentils and rice for instant meal using image processing techniques Pieniazek, Facundo Sancho, Ana Maria Messina, Valeria Textura Color Lenteja Arroz Técnicas Texture Colour Lentils Rice Techniques Instant Meal Typical approaches for measuring color and texture properties are mostly timeconsuming. An image-based method was used to evaluate texture and color in lentils and rice subjected to freeze-drying for an instant meal. Cooked and cooked freeze-dried rehydrated lentils and rice were analyzed by scanning electron microscopy. Texture properties were analyzed by texture analyzer and image analysis. Color was performed with a digital camera. Significant differences for color and texture (P < 0.05) were observed for cooked and cooked freeze-dried rehydrated lentils and rice. A linear trend with a linear correlation was applied for mechanical and image features. Results showed that image features such as contrast, correlation, energy and homogeneity calculated from Gray-level co-occurrence matrix had high correlations with mechanical features of hardness, adhesiveness, chewiness and gumminess for lentils, and for rice, mechanical features adhesiveness, gumminess and image features homogeneity and contrast. With this approach to quality, image processing techniques can be a useful tool. Instituto de Tecnología de Alimentos Fil: Pieniazek, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Fil: Sancho, Ana Maria. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Tecnología de Alimentos, Argentina. Fil: Messina, Valeria. Instituto de Investigaciones Científicas y Técnicas para la Defensa. Departamento de Investigaciones en Sólidos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. 2019-03-21T18:30:39Z 2019-03-21T18:30:39Z 2016-10 info:ar-repo/semantics/artículo info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://onlinelibrary.wiley.com/doi/10.1111/jfpp.12677 http://hdl.handle.net/20.500.12123/4700 1745-4549 https://doi.org/10.1111/jfpp.12677 eng info:eu-repo/semantics/restrictedAccess application/pdf Journal of Food Processing and Preservation 40 (5) : 969-978 (2016)
spellingShingle Textura
Color
Lenteja
Arroz
Técnicas
Texture
Colour
Lentils
Rice
Techniques
Instant Meal
Pieniazek, Facundo
Sancho, Ana Maria
Messina, Valeria
Texture and color analysis of lentils and rice for instant meal using image processing techniques
title Texture and color analysis of lentils and rice for instant meal using image processing techniques
title_full Texture and color analysis of lentils and rice for instant meal using image processing techniques
title_fullStr Texture and color analysis of lentils and rice for instant meal using image processing techniques
title_full_unstemmed Texture and color analysis of lentils and rice for instant meal using image processing techniques
title_short Texture and color analysis of lentils and rice for instant meal using image processing techniques
title_sort texture and color analysis of lentils and rice for instant meal using image processing techniques
topic Textura
Color
Lenteja
Arroz
Técnicas
Texture
Colour
Lentils
Rice
Techniques
Instant Meal
url https://onlinelibrary.wiley.com/doi/10.1111/jfpp.12677
http://hdl.handle.net/20.500.12123/4700
https://doi.org/10.1111/jfpp.12677
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AT messinavaleria textureandcoloranalysisoflentilsandriceforinstantmealusingimageprocessingtechniques