Paper Info
Title
Tongue Colour And Coating Prediction In Traditional Chinese Medicine Based On Visible Hyperspectral Imaging
Abstract
Tongue diagnosis is an important concept in Traditional Chinese Medicine (TCM). The tongue colour and coating can aid understanding of the body's physiological mechanisms, as well as the pathology of diseases. Existing research has focused on using digital images and tongue colour classification, without considering the other visible bands of information in the tongue. In this study, a visible hyperspectral image system, with an approximate spectral range of 400-1000nm, was used to predict the tongue colour values and the coating position in TCM, and a stacked autoencoder (SAE) predict model based on spectral-spatial feature was performed to digital the tongue colour space and the coating. The experimental results show the effectiveness of the spectral-spatial feature with SAE model in predicting the CIELAB values of L, a, and coating position, thus the authors provide a new technique for the objective and digitising development of TCM.
Year
DOI
Venue
2019
10.1049/iet-ipr.2018.5398
IET IMAGE PROCESSING
Keywords
Field
DocType
diseases, feature extraction, patient diagnosis, hyperspectral imaging, image classification, medical image processing, image colour analysis, biological organs, tongue diagnosis, Traditional Chinese Medicine, TCM, digital images, tongue colour classification, visible hyperspectral image system, approximate spectral range, tongue colour values, coating position, spectral-spatial feature, stacked autoencoder predict model, SAE predict model, CIELAB values, size 400, 0 nm to 1000, 0 nm
Computer vision,Pattern recognition,Coating,Hyperspectral imaging,Traditional Chinese medicine,Artificial intelligence,Tongue,Mathematics
Journal
Volume
Issue
ISSN
13
12
1751-9659
Citations 
PageRank 
References 
1
0.40
0
Authors
4
Name
Order
Citations
PageRank
Zheng Wang1353.40
Meijun Sun27411.77
Junhua Zhang310.40
Dong Zhang492.02