【摘要】 为了区分鉴别8种根茎类作物,通过采用傅里叶变换红外光谱(FTIR)结合小波变换(WI)、主成分分析(PCA)和聚类分析(HCA)的方法,测试研究了8种根茎类作物40个样品的红外光谱。结果表明:8种样品红外图谱相似,但在1800~700 cm-1范围内,红外光谱的峰位、峰形及吸收强度差异明显。对此范围内的原始红外光谱进行连续小波和离散小波变换。提取连续小波变换的第15层系数和离散小波变换的第5尺度细节系数数据,进行主成分分析和聚类分析。连续小波和离散小波的前3个主成分的累计贡献率分别为93.12%、89.78%,主成分分析和聚类分析正确率为100%。研究结果显示:傅里叶变换红外光谱技术结合小波变换的方法可以区分鉴别不同种的根茎类作物。更多还原

【Abstract】 In order to distinguish 8 kinds of rhizome crops, 40 samples were studied by Fourier TransformInfrared(FTIR) spectroscopy combined with wavelet transform, principal component analysis(PCA) andhierarchical cluster analysis(HCA). The results showed that, the infrared spectra were similar on the whole,but the differences in position, shape and absorption intensities of peaks were observed in the range of 1800-700 cm- 1. The infrared spectra in the range of 1800-700 cm- 1were selected to perform Continuous WaveletTransform(CWT) and Discrete Wavelet Transform(DWT). The fifteenth level decomposition coefficients ofCWT and the fifth level detail coefficients of DWT were classified by PCA and HCA. The first three principalcomponents’ cumulative contribution rates of continuous wavelet and discrete wavelet were 93.12% and89.78%, respectively. The recognition accurate rates of PCA and HCA were 100%. It is proved that FTIRspectroscopy combined with wavelet transform could be used to distinguish different kinds of rhizome crops.更多还原