食品科学2026，Vol.47Issue(10)：19-27,9.DOI:10.7506/spkx1002-6630-20251219-161
手机图像融合机器视觉对掺假羊肉片的精准识别方法
Precise Recognition of Adulterated Sliced Mutton Using Machine Vision with Mobile Phone Images
摘要
Abstract
In recent years,incidents of sliced mutton adulteration such as adulteration with non-mutton ingredients and the use of restructured and processed meat products have occurred frequently in the consumer market,harming consumer interests and disrupting market order.Existing detection methods suffer from shortcomings such as lengthy detection period and complex sample processing.To address these issues,this study proposed an image recognition approach integrating smartphone shooting systems with chemometrics.The optimal models were developed for high-precision identification of frozen whole-cut,processed,and reconstituted mutton slices.This study extracted 23 features from each of the three kinds of sliced mutton,including mean values and standard deviations of each channel in different color spaces,along with homogeneity,correlation,contrast,energy,and entropy from the grayscale co-occurrence matrix.After dimensionality reduction by principal component analysis(PCA),classification models were established using K-nearest neighbors(KNN),linear discriminant analysis(LDA),random forest(RF),and support vector machine(SVM).Results indicated that the RF model,with a classification accuracy of 91.67%,demonstrated superior overall performance compared with the other three models.SVM and KNN also demonstrated relatively robust classification performance,whereas the LDA model struggled to effectively handle the complex category boundaries of mutton samples,resulting in weaker classification outcomes.The findings of this study confirm the feasibility of using smartphone images combined with machine learning and chemometric methods for identifying adulterated mutton slices.关键词
羊肉片/掺假识别/机器视觉/化学计量学/手机图像Key words
sliced mutton/adulteration detection/machine vision/chemometrics/mobile phone images分类
轻工纺织引用本文复制引用
朱宇宸,黄越,黄怡鸿,罗旭东..手机图像融合机器视觉对掺假羊肉片的精准识别方法[J].食品科学,2026,47(10):19-27,9.基金项目
国家自然科学基金面上项目(32472425) （32472425）
"十四五"国家重点研发计划项目(2024YFF11059) （2024YFF11059）
