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Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction

Digital images of food for later analysis tend to be heterogeneous in terms of color and luminosity. Improving these images by using filters is necessary and crucial before further processing. This paper compares the non-use of filters and the use of high-pass filters in the images of hand-cut Iberi...

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Autores principales: Perán-Sánchez, Francisco, Serrano, Salud, Gutiérrez de Ravé, Eduardo, Sánchez-López, Elena, Cumplido, Ana, Jiménez-Hornero, Francisco J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022791/
https://www.ncbi.nlm.nih.gov/pubmed/31881665
http://dx.doi.org/10.3390/foods9010025
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author Perán-Sánchez, Francisco
Serrano, Salud
Gutiérrez de Ravé, Eduardo
Sánchez-López, Elena
Cumplido, Ana
Jiménez-Hornero, Francisco J.
author_facet Perán-Sánchez, Francisco
Serrano, Salud
Gutiérrez de Ravé, Eduardo
Sánchez-López, Elena
Cumplido, Ana
Jiménez-Hornero, Francisco J.
author_sort Perán-Sánchez, Francisco
collection PubMed
description Digital images of food for later analysis tend to be heterogeneous in terms of color and luminosity. Improving these images by using filters is necessary and crucial before further processing. This paper compares the non-use of filters and the use of high-pass filters in the images of hand-cut Iberian ham that will be used in a multifractal analysis for the study of fat and its infiltration. The yielded results show that with the use of a high-pass filter, more accurate fractal dimensions were obtained, which can be featured in predictive techniques of Iberian ham quality.
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spelling pubmed-70227912020-03-11 Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction Perán-Sánchez, Francisco Serrano, Salud Gutiérrez de Ravé, Eduardo Sánchez-López, Elena Cumplido, Ana Jiménez-Hornero, Francisco J. Foods Article Digital images of food for later analysis tend to be heterogeneous in terms of color and luminosity. Improving these images by using filters is necessary and crucial before further processing. This paper compares the non-use of filters and the use of high-pass filters in the images of hand-cut Iberian ham that will be used in a multifractal analysis for the study of fat and its infiltration. The yielded results show that with the use of a high-pass filter, more accurate fractal dimensions were obtained, which can be featured in predictive techniques of Iberian ham quality. MDPI 2019-12-25 /pmc/articles/PMC7022791/ /pubmed/31881665 http://dx.doi.org/10.3390/foods9010025 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Perán-Sánchez, Francisco
Serrano, Salud
Gutiérrez de Ravé, Eduardo
Sánchez-López, Elena
Cumplido, Ana
Jiménez-Hornero, Francisco J.
Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title_full Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title_fullStr Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title_full_unstemmed Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title_short Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
title_sort digital image filtering optimization supporting iberian ham quality prediction
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7022791/
https://www.ncbi.nlm.nih.gov/pubmed/31881665
http://dx.doi.org/10.3390/foods9010025
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