کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10359206 869074 2005 17 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Vision and Image Understanding - Volume 98, Issue 2, May 2005, Pages 344-360
نویسندگان
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