Applying data mining and Computer Vision Techniques to MRI to estimate quality traits in Iberian hams

This publication has 29 references indexed in Scilit:

• Non-destructive estimation of moisture, water activity and NaCl at ham surface during resting and drying using NIR spectroscopy
  Food Chemistry, 2011
• Prediction of salt and water content in dry-cured hams by computed tomography
  Journal of Food Engineering, 2010
• Modeling wine preferences by data mining from physicochemical properties
  Decision Support Systems, 2009
• Estimation of lean meat content in pig carcasses using X-ray Computed Tomography and PLS regression
  Chemometrics and Intelligent Laboratory Systems, 2009
• Use of Magnetic Resonance Imaging for monitoring Parma dry-cured ham processing
  Meat Science, 2009
• Monitoring the ripening process of Iberian ham by computer vision on magnetic resonance imaging
  Meat Science, 2007
• Lamb Meat Quality Assessment by Support Vector Machines
  Neural Processing Letters, 2006
• Thresholding Methods on MRI to Evaluate Intramuscular Fat Level on Iberian Ham
  Lecture Notes in Computer Science, 2005
• Physicochemical changes throughout the ripening of dry cured hams with different salt content and processing conditions
  European Food Research and Technology, 2004
• Mathematical Morphology on MRI for the Determination of Iberian Ham Fat Content
  2003