分析测试学报2025，Vol.44Issue(3)：454-463,10.DOI:10.12452/j.fxcsxb.240711212
基于高光谱成像技术的包衣甘蓝种子色度检测
Detection of Coated Cabbage Seeds Color Based on Hyperspectral Imaging Technology
摘要
Abstract
Hyperspectral imaging technology was used to analyze the coating color uniformity and the depth of coating color of coated cabbage seeds of 4 different varieties and coated cabbage seeds treat-ed with coating agents at 3 different concentrations during the coating process.The average spectral reflectance of 240 seed samples was extracted.The original spectra were preprocessed and optimized through 4 preprocessing methods.Then,4 methods including the competitive adaptive reweighted sampling algorithm(CARS),successive projections algorithm(SPA),uninformative variable elimi-nation transformation method(UVE),and genetic algorithm partial least squares algorithm(GAPLS)were used to extract the characteristic wavelengths.Partial least squares regression(PLSR),multi-ple linear regression(MLR)and principal component regression(PCR)were established based on the optimized characteristic wavelengths.The results showed that the coating effect on kale seeds was the most obvious,followed by that on Jiaxiang taste-type cabbage,and the coating effects on Zhonggan 15 and purple cabbage were close.The Baseline method was preferably used to preprocess the chro-maticity value L*,the Normalize method was used to preprocess the chromaticity value a,and the SNV method was used to preprocess the chromaticity value b.The characteristic wavelengths extract-ed by the GAPLS method were used to establish the quantitative prediction models for L* and b,the characteristic wavelengths extracted by the UVE method were used to establish the quantitative pre-diction model for the chromaticity value a.The L* model established by PLSR had the best effect(Rc=0.814,Rp=0.640;RMSEC=1.150,RMSEP=1.852),the model for the chromaticity value a es-tablished by MLR had a better effect(Rc=0.981,Rp=0.964;RMSEC=2.563,RMSEP=3.243),and the model for the chromaticity value b established by PCR had the best effect(Rc=0.917,Rp=0.913;RMSEC=2.552,RMSEP=2.589).The research can provide technical support for the on-line monitoring of seed chromaticity.关键词
高光谱成像/包衣甘蓝种子/色度/检测Key words
hyperspectral imaging/coated cabbage seeds/color/detection分类
化学引用本文复制引用
吴龙国,马玲,张瑶,田雨,朱彦哲,张祎洋..基于高光谱成像技术的包衣甘蓝种子色度检测[J].分析测试学报,2025,44(3):454-463,10.基金项目
国家重点研发计划子课题专项(2021YFD1600302-3) （2021YFD1600302-3）
