Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction.

Francisco Perán-Sánchez, Salud Serrano, Eduardo Gutiérrez de Ravé, Elena Sánchez-López, Ana Cumplido, Francisco J Jiménez-Hornero

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Article in Foods (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Francisco Perán-SánchezDepartment of Food Hygiene and Technology, University of Córdoba, Campus Rabanales, Edif. Darwin, Anexo, 14071 Cordoba, Spain.ORCID 0000-0002-0006-0981

Salud SerranoDepartment of Food Hygiene and Technology, University of Córdoba, Campus Rabanales, Edif. Darwin, Anexo, 14071 Cordoba, Spain.

Eduardo Gutiérrez de RavéDepartment of Graphic Engineering and Geomatics, University of Córdoba, Campus Rabanales, Edif. Mendel, 14071 Córdoba, Spain.

Elena Sánchez-LópezDepartment of Graphic Engineering and Geomatics, University of Córdoba, Campus Rabanales, Edif. Mendel, 14071 Córdoba, Spain.

Ana CumplidoDepartment of Food Hygiene and Technology, University of Córdoba, Campus Rabanales, Edif. Darwin, Anexo, 14071 Cordoba, Spain.

Francisco J Jiménez-HorneroDepartment of Graphic Engineering and Geomatics, University of Córdoba, Campus Rabanales, Edif. Mendel, 14071 Córdoba, Spain.ORCID 0000-0003-4498-8797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

fatty infiltrationhigh-pass filterIberian hamimage analysismanual slicingmultifractal analysis

Identifiers

PMID31881665

DOI10.3390/foods9010025

PMCPMC7022791

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