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   sensory evaluation of the color of mutton by computer vision system  
   
نویسنده tabibian samaneh ,mohsenzadeh mohammad ,pourreza hamidreza ,golzarian mahmoodreza
منبع iranian journal of veterinary science and technology - 2017 - دوره : 9 - شماره : 2 - صفحه:57 -63
چکیده    Evaluation of meat color by a computer vision system (cvs) is a promising implement to dominate the difficulties when the meat is directly evaluated. in this study, 60 longissimus dorsi from different carcasses of sheep were provided and cut into samples in 5 mm thickness. immediately under standard shooting conditions, photographing was carried out by cvs. at the same time, the color of meat was measured with hunterlab colorimeter. the first photo was taken on samples on a freshly cut surface just arrived at the laboratory and the others on 3rd, 5th,7th, 9th, 11th, and 13th days after slaughtering. then, seven trained sensory panels were asked to evaluate the color of the photos that were taken during 13 days and graded them in order of preference. in general sensory panel preferred samples with high lightness, a relatively highredness, and yellowness until 7 days after slaughtering.
کلیدواژه sheep ,meat color ,sensory evaluation ,mutton
آدرس ferdowsi university of mashhad, faculty of veterinary medicine, department of food hygiene and aquaculture, ایران, ferdowsi university of mashhad, faculty of veterinary medicine, department of food hygiene and aquaculture, ایران, ferdowsi university of mashhad, faculty of engineering, department of computer engineering, ایران, ferdowsi university of mashhad, faculty of agriculture, department of biosystems engineering, ایران
 
   ارزیابی حسّی رنگ گوشت گوسفند با استفاده از سیستم بینایی کامپیوتر  
   
Authors طبیبیان سمانه ,محسن زاده محمد ,پوررضا حمیدرضا ,گلزاریان محمودرضا
  
 
 

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