Astragalus membranaceus spectrogram feature extraction and production place identification method based on kernel principal component analysis

The invention discloses a spectrogram feature extraction algorithm based on kernel principal component analysis, and on the basis, a sparse representation classifier is applied to analyze an astragalus membranaceus spectrogram, so that a method for quickly identifying the production place of astraga...

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Hauptverfasser: GUO JUNQIN, YANG JINHAO, DENG ZI'AN, HONG YU, GAO GUOLIANG, ZHANG YINSHENG, WANG JINJIN, WANG HAIYAN, ZHAO YAJU, WANG GUOXIANG, CHEN DAQIANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a spectrogram feature extraction algorithm based on kernel principal component analysis, and on the basis, a sparse representation classifier is applied to analyze an astragalus membranaceus spectrogram, so that a method for quickly identifying the production place of astragalus membranaceus is realized. The chemical analysis method adopted by the invention mainly comprisesan ion mobility spectrometry technology and an ultraviolet fluorescence spectrum analysis technology, has the advantages of rapid spectrum collection, good discrimination and the like, and is an important method for rapidly identifying the quality of the Chinese herbal medicine. According to the technical scheme, the method mainly comprises the steps of collection of astragalus membranaceus spectrogram information, extraction of Chinese herbal medicine spectrogram characteristics based on kernel principal component analysis and identification of the astragalus membranaceus production place based on a sparse represent