中国激光, 2019, 46 (3): 0311003, 网络出版: 2019-05-09
基于激光诱导击穿光谱的茶叶品种快速分类 下载: 1390次
Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy
光谱学 激光诱导击穿光谱 茶叶品种 快速分类 光谱预处理 主成分分析 支持向量机 spectroscopy laser-induced breakdown spectroscopy tea variety rapid identification spectral pretreatment principal component analysis support vector machine
摘要
在提取激光诱导击穿光谱(LIBS)全部特征峰的基础上,利用支持向量机建立了有效的茶叶分类模型。采集了15种茶叶样品的有效LIBS光谱数据(190~720 nm),运用窗口平移平滑和峰位漂移函数修正对光谱进行了预处理,再结合主成分分析降维,对绿茶、红茶、白茶实现了98.3%的识别率;对同一种类中不同品种的茶叶也实现了较好的识别。研究结果表明,LIBS在茶叶品种快速识别应用中具有较好的前景。
Abstract
On the basis of extracting all the characteristic peaks of laser-induced breakdown spectroscopy (LIBS), an effective tea classification model is established based on support vector machine. The effective LIBS spectral data (190-720 nm) of fifteen tea samples are collected, and the spectra are preprocessed by window translation smoothing and peak shift function correction. Combined with principal component analysis for dimensionality reduction, the recognition rate of green tea, black tea and white tea is 98.3%. Different varieties of tea in the same species also achieve good recognition. The research results show that LIBS has a good prospect in the rapid identification of tea varieties.
徐向君, 王宪双, 李昂泽, 何雅格, 柳宇飞, 何锋, 郭伟, 刘瑞斌. 基于激光诱导击穿光谱的茶叶品种快速分类[J]. 中国激光, 2019, 46(3): 0311003. Xiangjun Xu, Xianshuang Wang, Angze Li, Yage He, Yufei Liu, Feng He, Wei Guo, Ruibin Liu. Fast Classification of Tea Varieties Based on Laser-Induced Breakdown Spectroscopy[J]. Chinese Journal of Lasers, 2019, 46(3): 0311003.