利用图像分析对猪排腰部腹面进行中心颜色分类

IF 1.2 4区 农林科学 Q3 AGRICULTURE, DAIRY & ANIMAL SCIENCE Canadian Journal of Animal Science Pub Date : 2023-11-13 DOI:10.1139/cjas-2023-0011
Xinyi Wei, Benjamin M Bohrer, B. Uttaro, Manuel Juárez
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引用次数: 0

摘要

对550块猪腰肉的腹、前、后端进行图像分析,对颜色极端的中心排骨进行分类。只有腹侧与中切密切相关(r = 0.79)。选取腹面白猪肉的第2.5、第5和第7.5百分位阈值对中切白猪肉(第5百分位)进行分类。增加严格程度增加了排除苍白样品的准确性。在第7.5个百分位数处,苍白样本和非苍白样本的预测准确率达到平衡(85.7%)。这种方法可以被商业猪肉加工厂采用,作为一种分类或预分类方法。
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Centre pork chop colour classification using image analysis on the ventral surface of the loin
Image analysis of ventral, anterior, and posterior ends of 550 pork loins was used to classify extreme-coloured centre chops. Only the ventral side was strongly correlated ( r = 0.79) to the centre chop. Thresholds at 2.5th, 5th, and 7.5th percentiles of ventral surface pale pork were selected to classify centre chop pale pork (5th percentile). Increasing stringency increased accuracy in excluding pale samples. At the 7.5th percentile, prediction accuracy of pale (85.7%) and non-pale samples (89.5%) was balanced. This method can be adopted by commercial pork processors as a classification or pre-sorting approach.
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来源期刊
Canadian Journal of Animal Science
Canadian Journal of Animal Science 农林科学-奶制品与动物科学
CiteScore
2.30
自引率
0.00%
发文量
51
审稿时长
6 months
期刊介绍: Published since 1957, this quarterly journal contains new research on all aspects of animal agriculture and animal products, including breeding and genetics; cellular and molecular biology; growth and development; meat science; modelling animal systems; physiology and endocrinology; ruminant nutrition; non-ruminant nutrition; and welfare, behaviour, and management. It also publishes reviews, letters to the editor, abstracts of technical papers presented at the annual meeting of the Canadian Society of Animal Science, and occasionally conference proceedings.
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