Digital Image Filtering Optimization Supporting Iberian Ham Quality Prediction
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Author
Perán-Sánchez, Francisco
Serrano, Salud
Gutiérrez de Ravé Agüera, Eduardo
Sánchez-López, Elena
Cumplido, Ana
Jiménez-Hornero, Francisco José
Publisher
MDPIDate
2020Subject
Iberian hamHigh-pass filter
Image analysis
Fatty infiltration
Manual slicing
Multifractal analysis
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Show full item recordAbstract
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.