Title of article :
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
Author/Authors :
Cernadas، نويسنده , , E. and Carriَn، نويسنده , , P. and Rodriguez، نويسنده , , P.G. and Muriel، نويسنده , , E. and Antequera، نويسنده , , T.، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Abstract :
Iberian pork comes from genuinely bred Southwest Iberian Peninsula pigs traditionally fattened with acorns and pasture in an extensive production system. Dry-cured loins and hams constitute the main uncooked pork products with high sensorial quality and a first rate consumer acceptance, leading to high prices in the market. Several aspects related to quality in Iberian products have been examined by using chemical and sensorial procedures to provide quality. However, all these approaches are tedious and destroy the item. In addition, food science has shown little interest in MRI to explore meat products in a non-invasive way. Therefore, this paper introduce an objective and non-destructive methodology to classify Iberian loins consistently. It is based on texture analysis of MRI images displaying dry-cured pork loins. A statistical evaluation is provided for a set of 47 loins to predict three levels of different sensorial characteristics.
Keywords :
feature selection , Pattern recognition , Meat product , image classification , Texture analysis , Iberian pork loin
Journal title :
Computer Vision and Image Understanding
Journal title :
Computer Vision and Image Understanding