用计算机视觉系统对羊肉颜色的感官评价

Q4 Veterinary
Samaneh Tabibian, M. Mohsenzadeh, H. Pourreza, M. Golzarian
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引用次数: 0

摘要

利用计算机视觉系统(CVS)对肉色进行评价是解决直接评价肉色困难的一种很有前途的方法。本研究从不同的绵羊胴体中提取60块背最长肌,切成5 mm厚的样品。在标准拍摄条件下,立即使用CVS进行拍摄。同时用Hunterlab色度计测定肉的颜色。第一张照片是在刚到达实验室的新鲜切割表面上拍摄的,其他照片是在屠宰后的第3、5、7、9、11和13天拍摄的。然后,七个受过训练的感官小组被要求评估13天内拍摄的照片的颜色,并按偏好顺序对它们进行评分。一般来说,感官面板在屠宰后7天内偏爱亮度高、红度和黄度相对较高的样品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensory evaluation of the color of mutton by computer vision system
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.
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CiteScore
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