基于可见光-近红外高光谱信息与数据融合的木质化鸡胸肉的判别模型构建
Development of Discriminant Models for Wooden Breast Based on Visible and Near Infrared Hyperspectral Information and Their Fused Data
张娜 1李震 1兰维杰 1屠康 1武杰 2王兆山 3赵干 3潘磊庆1
作者信息
- 1. 南京农业大学食品科技学院,江苏南京 210095
- 2. 蚌埠学院食品与生物工程学院,安徽蚌埠 233030
- 3. 江苏益客食品集团股份有限公司,江苏宿迁 223800
- 折叠
摘要
木质化鸡胸肉(wooden breast,WB)制约肉鸡行业发展,传统触诊检测方法耗时且效率低,为提升高光谱成像(hyperspectral imaging,HSI)技术检测鸡胸肉木质化程度的效果,本论文以白羽鸡鸡胸肉为研究对象,将其划分 4个木质化等级,采集其在 400～1000和 1000～2000 nm内的HSI信息,通过不同光谱预处理算法和特征波段筛选方法,建立基于全波段、特征波段和HSI数据融合的偏最小二乘判别分析(Partial least squares-discriminant analysis,PLS-DA)模型和支持向量机(Support vector machine,SVM)模型.结果显示,SVM模型比 PLS-DA模型更适于判别鸡胸肉木质化程度,基于 1000～2000 nm内全波段和特征波段的最佳模型预测集总体正确率均高于 400～1000 nm内的模型,基于两波段HSI数据融合的木质化判别模型优于基于单一波段(包括全波段和特征波段)的模型,最佳模型预测集总体正确率为 96.7%,能较好地区分出 4个木质化等级,且对 4个等级的判别准确率均可达90%以上.研究结果为HSI实现木质化鸡胸肉的准确无损检测提供技术支持.
Abstract
Wooden breast barriers the development of broiler industry,and traditional detection methods are time-consuming and inefficient.To investigate the feasibility of the hyperspectral imaging(HSI)technique for the detection of wooden breasts,four different grades of white feather chicken breast were selected and their HSI information of 400～1000 and 1000～2000 nm was collected.After spectral preprocessing and spectral variable selection,partial least squares discriminant(PLS-DA)models and support vector machine(SVM)models were developed based on full wavelength and characteristic spectral variables,as well as their fused HSI data.The results showed that SVM models showed better results than PLS-DA models to discriminate woody grades of chicken breasts.The overall discrimination rates based on the full HSI bands and selected spectral variables in 1000～2000 nm were higher than those of models in 400～1000 nm.Besides,the discrimination models based on fused HSI data of HSI bands and selected spectral variables provided the best results,with the overall discrimination rate of 96.7%for four different woody grades,and the accuracy of the four grades could reach more than 90%.The research results provided technical support for HSI to achieve rapid and non-destructive detection of wooden chicken breasts.
关键词
木质化鸡胸肉/可见-近红外高光谱/短波红外高光谱/光谱数据融合/判别模型Key words
wooden breast/visible-near infrared hyperspectral/short-wave infrared hyperspectral/spectral data fusion/discriminant model引用本文复制引用
基金项目
江苏省苏北科技专项(SZ-SQ2021006)
江苏省重点研发计划项目(BE2020693)
安徽省科技重大专项(201903a06020010)
安徽省长三角科技创新联合攻关专项(202004g01020009)
出版年
2024
国家科技期刊平台
NSTL
万方数据