Research on the application of intelligent Chinese herbal medicine identification technology

Xiangzhen Cui; Limei Song; Jing Sun; Hongyu Zhou

doi:10.1117/12.3026697

27 March 2024 Research on the application of intelligent Chinese herbal medicine identification technology

Xiangzhen Cui, Limei Song, Jing Sun, Hongyu Zhou

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131052B (2024) https://doi.org/10.1117/12.3026697
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

Chinese medicinal materials play an important role in the health care of our people, and the quality of Chinese medicine has received more and more attention. The quality of Chinese medicinal materials and the authenticity of drugs are related to the therapeutic effect, so the identification of authenticity of Chinese medicinal materials is very important. China is very rich in traditional Chinese medicine resources, and many kinds of traditional Chinese medicines have brought great difficulties to the identification of traditional Chinese medicinal materials. The characteristics of traditional Chinese medicines are not only the appearance characteristics of medicinal materials, but also the external manifestations of the internal organizational structure of medicinal materials and the chemical components contained in them. In research, the essence of the trait identification of traditional Chinese medicine is to explain the correlation between trait characteristics and internal tissue structure and its intrinsic chemical composition in modern science. At present, some new methods and technologies are applied to the identification of traditional Chinese medicine traits, such as simulating the electronic nose and electronic tongue generated by the human olfactory organ and taste system, and image recognition and identification are also used. These new methods and technologies are all extensions of trait identification and are conducive to the development of Chinese medicine.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiangzhen Cui, Limei Song, Jing Sun, and Hongyu Zhou "Research on the application of intelligent Chinese herbal medicine identification technology", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131052B (27 March 2024); https://doi.org/10.1117/12.3026697

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Medicine

Nose

Image processing

Sensors

Image analysis

Feature extraction

Biomedical applications

Show All Keywords

Keywords/Phrases

Search In:

Publication Years