Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces-Reference-Cited by-同舟云学术

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Magnetic Resonance Imaging, texture analysis and regression techniques to non-destructively predict the quality characteristics of meat pieces

Published:2019-06 Issue: Volume:82 Page:110-125
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Ávila M.M.,Durán M.L.,Caballero D.,Antequera T.,Palacios-Pérez T.,Cernadas E.,Fernández-Delgado M.

Funder

FEDER-MICCIN Infrastructure Research Project

Junta de Extremadura economic

Xunta de Galicia

European Union

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference72 articles.

1. Monitoring the ripening process of Iberian ham by computer vision on magnetic resonance imaging;Antequera;Meat Sci.,2007

2. MRI-aided texture analyses of compressed meat products;Bajd;J. Food Eng.,2017

3. Statistical Models in S;Bates,1992

4. Evaluation of the effects of gabor filter parameters on texture classification;Bianconi;Pattern Recognit.,2007

5. Random forests;Breiman;Mach. Learn.,2001

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