کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4563809 1628530 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Evaluation of the quality of cold meats by computer-assisted image analysis
ترجمه فارسی عنوان
ارزیابی کیفیت گوشت سرد با استفاده از تجزیه و تحلیل تصویر کامپیوتری
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک دانش تغذیه
چکیده انگلیسی


• The quality of poultry and pork cold meats was evaluated by digital image analysis.
• A statistical model for the classification of cold meats was developed.
• The coefficients of correlation between the chemical composition and texture of cold meats were calculated.

The quality of 16 types of pork (PK) and poultry (PL) cold meats was evaluated by digital image analysis. Images were acquired in a flatbed scanner. The dry matter, protein, fat, ash and collagen content of the analyzed products was determined, and more than 2800 image texture variables from 12 color channels (RGB, Lab*, XYZ, S, V, U) were measured. The results were processed statistically by one-way ANOVA, correlation analysis, discriminant analysis and canonical analysis. Canonical analysis was performed to determine correlations between the chemical composition and image textures of cold meats. The developed statistical model discriminated cold meats with 89%–100% accuracy, subject to product type. The coefficients of correlation between chemical composition and image texture parameters were determined in the range of 0.70–0.92.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: LWT - Food Science and Technology - Volume 67, April 2016, Pages 37–49
نویسندگان
, , ,