碧螺春茶叶的真伪鉴别技术——基于漫反射式高光谱成像技术  

Bilwchun Tea′s Iclentification Technology —Based on Difuse Reflectance Hyperspectroe Imaging Technology

作　　者：蔡健荣[1] 韩智义[1] 

机构地区：[1]江苏大学食品与生物工程学院,江苏镇江212013

出　　处：《农机化研究》2013年第4期140-143,共4页Journal of Agricultural Mechanization Research

基　　金：国家自然科学基金项目(30800666);江苏省自然科学基金项目(BK2009216)

摘　　要：提出了基于漫反射式高光谱成像技术结合模式识别的碧螺春茶真伪鉴别方法。试验以漫反射式高光谱成像系统采集碧螺春茶样图像数据;通过主成分分析优选特征图像,并利用灰度共生矩阵从中各提取4个纹理特征参量;最后,利用支持向量机的模式识别方法构建茶叶真伪鉴别模型。训练和预测集的判别率分别达到100%和96.25%。研究表明,利用漫反射式高光谱成像技术结合支持向量机模式识别方法鉴别碧螺春茶品质真伪是可行的。A new idea that the famous brand tea＇ s authenticity was discriminated by hyperspectral imaging technique was proposed in this work. Hyerpspectral imaging system based on diffuse reflection was developed for Biluochun tea＇ s data acquisition. Feature wavebands images were selected from hyperspectral data by principal component analysis and four characteristic variables were extracted from feature wavebands images by texture analysis based on the gray-level co-oc- currence matrix. Finally, Discrimination model was developed by support vector machine （SVM）. The back-discrimina- tion rate of model is 100% in the calibration set, and the This study shows that it is feasible discriminate Biluochun with SVM pattern recognition. discrimination rate of model is 96.25 % in the prediction set. tea＇ s authenticity by hyperspectral imaging technique coupled

关 键 词：高光谱成像技术 灰度共生矩阵 支持向量机 鉴别 碧螺春茶 

分 类 号：S126[农业科学—农业基础科学] TP391.41[自动化与计算机技术—计算机应用技术]