Iranian Journal of Veterinary Science and Technology, ( ISI ), Volume (9), No (2), Year (2018-1) , Pages (57-63)

Title : ( Sensory evaluation of the color of mutton by computer vision system )

Authors: Samaneh Tabibian , Mohammad Mohsenzadeh , Hamid Reza Pourreza , Mahmood Reza Golzarian ,

Citation: BibTeX | EndNote

Abstract

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.

Keywords

, Sheep, Meat color, Sensory evaluation,
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@article{paperid:1066997,
author = {Tabibian, Samaneh and Mohsenzadeh, Mohammad and Pourreza, Hamid Reza and Golzarian, Mahmood Reza},
title = {Sensory evaluation of the color of mutton by computer vision system},
journal = {Iranian Journal of Veterinary Science and Technology},
year = {2018},
volume = {9},
number = {2},
month = {January},
issn = {2008-465X},
pages = {57--63},
numpages = {6},
keywords = {Sheep; Meat color; Sensory evaluation; Mutton},
}

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%0 Journal Article
%T Sensory evaluation of the color of mutton by computer vision system
%A Tabibian, Samaneh
%A Mohsenzadeh, Mohammad
%A Pourreza, Hamid Reza
%A Golzarian, Mahmood Reza
%J Iranian Journal of Veterinary Science and Technology
%@ 2008-465X
%D 2018

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