【作者】 张长江； 程存归；

【Author】 ZHANG Chang-jiang, CHENG Cun-gui College of Information Science and Engineering, Zhejiang Normal University, Jinhua 321004, China College of Chemistry and Life Science, Zhejiang Normal University, Jinhua 321004, China

【机构】 浙江师范大学信息科学与工程学院； 浙江师范大学化学与生命科学学院；

【摘要】 应用傅里叶变换红外光谱仪,借助OMNI采样器直接、快速、准确地测定罂粟及虞美人的红外光谱。利用离散平稳变换分别对它们的红外光谱进行放大处理,以有效突出罂粟和虞美人的红外光谱差异程度,从向提高鉴定正确率。对罂粟和虞美人的红外光谱进行若干尺度的一维离散平稳小波变换,在各个尺度下观察罂粟和虞美人的红外光谱的差异程度,从中选择一个差异程度最为明显的尺度来鉴别罂粟和虞美人。结果表明:基于离散平衡小波变换的傅里叶红外光谱分析方法能够有效鉴别罂粟和虞美人。更多还原

【Abstract】 Infrared spectra of Papaver somniferum L. and Papaver rhoeas were obtained directly, quickly and accurately by Fourier transform infrared spectroscopy (FTIR) with OMNI sampler. Discrete stationary wavelet transform was used to extrude local region of infrared spectra of Papaver samniferum L. and Papaver rhoeas. The difference in infrared spectra between Papaver somniferum L. and Papaver rhoeas was extruded greatly, and accurate identification rate was improved significantly. One-dimensional discrete stationary wavelet transform was implemented for the infrared spectra of Papaver somniferum L. and Papaver rhoeas. The difference between Papaver somniferum L. and Papaver rhoeas was observed at all scales in wavelet domain. An optimal scale, at which the difference between Papaver somniferum L. and Papaver rhoeas is the most obvious, was selected to identify Papaver somniferum L. and Papaver rhoeas. The results show that it is effective to apply discrete stationary wavelet transform on the basis of FTIR to identify Papaver somniferum L. and Papaver rhoeas.更多还原