Sensory evaluation of the color of mutton by computer vision system

Iranian Journal of Veterinary Science and Technology

مقاله 8، دوره 9، شماره 2 - شماره پیاپی 17، فروردین 2017، صفحه 57-63   

نوع مقاله: Research Articles

شناسه دیجیتال (DOI): 10.22067/veterinary.v9i2.63673

نویسندگان

Samaneh Tabibian؛ Mohammad Mohsenzadeh^* ؛ Hamidreza Pourreza؛ Mahmoodreza Golzarian

Ferdowsi university of Mashhad

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 high redness, and yellowness until 7 days after slaughtering.

کلیدواژه‌ها

Sheep؛ Meat color؛ Sensory evaluation؛ Mutton

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