RT Journal Article
T1 MarblingPredictor: A software to analyze the quality of dry-cured ham slices
A1 Cernadas García, Eva
A1 Fernández Delgado, Manuel
A1 Sirsat, Manisha
A1 Fulladosa, Elena
A1 Muñoz, Israel
K1 Dry-cured ham
K1 Intramuscular fat
K1 Marbling
K1 Support vector regression
K1 Texture analysis
K1 Image segmentation
K1 Subcutaneous fat
AB Dry-cured ham is a traditional Mediterranean meat product consumed throughout the world. This product is very variable in terms of composition and consumer's acceptability is influenced by different factors, among others, visual intramuscular fat and its distribution across the slice, also known as marbling. On-line inter and intramuscular fat evaluation and marbling assessment is of interest for classification purposes at the industry. Currently, this assessment can only be performed by visual inspection and traditional sensory panels. The current work presents the software MarblingPredictor, which predicts the marbling score of the three most representative ham muscles from square regions of interest automatically extracted from a ham slice. It also estimates the rate of subcutaneous and intermuscular fat content in the ham slice. Using MarblingPredictor, the mean absolute error between the true and predicted marbling scores was 0.53, very similar to the error of sensory panellist, which is 0.50. The correlation between the computer and sensory scores is 0.68, which means a moderate to good recognition. This result underscores the relevance of this tool for its application in the ham industry for quality control and categorization purposes.As part of this work, we also present the dataset HamMarbling of annotated ham slices used to train and test the software with the marbling scores provided by the panellists. The MarblingPredictor software and images are available from https://citius.usc.es/transferencia/software/marblingpredictor for Windows- and Linux-based systems for research purposes.
PB Elsevier
SN 0309-1740
YR 2024
FD 2024-11-28
LK https://hdl.handle.net/10347/39986
UL https://hdl.handle.net/10347/39986
LA eng
NO Cernadas, E., Fernández-Delgado, M., Sirsat, M., Fulladosa, E., Muñoz, I. (2024). MarblingPredictor: A software to analyze the quality of dry-cured ham slices. "Meat Science", vol. 221
NO This work has received financial support from the Xunta de Galicia (Centro singular de investigación de Galicia, accreditation 2020–2023) and the European Union (European Regional Development Fund—ERDF), Project ED431G-2019/04. IRTA's contribution was also funded by the CCLabel project (RTI-2018- 096883-R-C41) and the CERCA programme from Generalitat de Catalunya.
DS Minerva
RD 28 abr 2026