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

A nuclear principal component analysis and feature extraction technology, which is applied in the direction of material analysis, color/spectral characteristic measurement, and material analysis through electromagnetic means, and can solve the problems of lack of overall and holistic judgment of products

Inactive Publication Date: 2019-08-06
杭州麦迪特检测技术服务有限公司 +2
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most of them focus on the chemical analysis of specific components in Chinese herbal medicine products, lacking the ove

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Astragalus membranaceus spectrogram feature extraction and production place identification method based on kernel principal component analysis
  • Astragalus membranaceus spectrogram feature extraction and production place identification method based on kernel principal component analysis
  • Astragalus membranaceus spectrogram feature extraction and production place identification method based on kernel principal component analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] Below in conjunction with specific implementation cases, further illustrate the present invention, should be understood that these are only used to explain the present invention and are not intended to limit the scope of the present invention, after reading the present invention, those skilled in the art can modify the various equivalent forms of the present invention fall within the scope defined by the appended claims of the present invention.

[0072] (1) Processing and collection of astragalus samples:

[0073] Acquisition of spectrum information of Astragalus membranaceus: The standard method in the field of chemical spectrum analysis at the present stage is used to collect spectrum information of Astragalus membranaceus. As a preferred solution, in the present invention, the Astragalus sample is placed in a Chinese medicinal material grinder at 25,000 rpm and pulverized to powder, then 3 grams of Astragalus powder sample is taken, placed in 30 ml of ethanol soluti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

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 representation classifier. Experiments show that the method is high in operation speed and high in recognition rate, provides a technical solution idea and scheme for rapid quality identification of Chinese herbal medicines, and has wide application significance.

Description

[0001] 1 technical field [0002] The present invention relates to a method based on nuclear principal component analysis and sparse representation classifier-based feature extraction and origin identification of Astragalus spectrum. Specifically, it combines pattern recognition technology with Chinese herbal medicine spectrum analysis technology Combining, using spectral analysis technology as a means, kernel principal component analysis technology as a spectral feature extraction method, and a sparse representation classifier as a recognition scheme is a new technology for quality identification of Chinese herbal medicine. [0003] 2 background technology [0004] The "National Medium and Long-term Science and Technology Development Plan (2006-2020)" clearly puts the inheritance and innovative development of traditional Chinese medicine as a priority theme, "focus on the research of traditional Chinese medicine diagnosis and treatment, evaluation technology and standards, and ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62G01N21/33G01N27/62
CPCG01N21/33G01N27/62G06F18/2135G06F18/214
Inventor 杨锦豪邓子安王金金洪宇郭俊勤高国亮王海燕陈达强赵亚菊张寅升王国祥
Owner 杭州麦迪特检测技术服务有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap