Classification of hyperspectral medical tongue images for tongue diagnosis

Liu Zhi; Dapeng Zhang; Jing qi Yan; Qing Li Li; Qun lin Tang

doi:10.1016/j.compmedimag.2007.07.008

Classification of hyperspectral medical tongue images for tongue diagnosis

Liu Zhi
, Dapeng Zhang
, Jing qi Yan
, Qing Li Li
, Qun lin Tang

Research output: Journal article publication › Journal article › Academic research › peer-review

126 Citations (Scopus)

Abstract

Human tongue is one of the important organs of the body, which carries abound of information of the health status. The images of the human tongue that are used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras currently. However, this conversional method impedes the accurate analysis on the subjects of tongue surface because of the influence of illumination and tongue pose. To address this problem, this paper presents a novel approach to analyze the tongue surface information based on hyperspectral medical tongue images with support vector machines. The experimental results based on chronic Cholecystitis patients and healthy volunteers illustrate its effectiveness.

Original language	English
Pages (from-to)	672-678
Number of pages	7
Journal	Computerized Medical Imaging and Graphics
Volume	31
Issue number	8
DOIs	https://doi.org/10.1016/j.compmedimag.2007.07.008
Publication status	Published - 1 Dec 2007

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Classification
Hyperspectral tongue medical images
Support vector machines (SVM)

ASJC Scopus subject areas

Radiological and Ultrasound Technology
Radiology Nuclear Medicine and imaging
Computer Vision and Pattern Recognition
Health Informatics
Computer Graphics and Computer-Aided Design

More information

10.1016/j.compmedimag.2007.07.008

Cite this

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title = "Classification of hyperspectral medical tongue images for tongue diagnosis",

abstract = "Human tongue is one of the important organs of the body, which carries abound of information of the health status. The images of the human tongue that are used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras currently. However, this conversional method impedes the accurate analysis on the subjects of tongue surface because of the influence of illumination and tongue pose. To address this problem, this paper presents a novel approach to analyze the tongue surface information based on hyperspectral medical tongue images with support vector machines. The experimental results based on chronic Cholecystitis patients and healthy volunteers illustrate its effectiveness.",

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year = "2007",

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doi = "10.1016/j.compmedimag.2007.07.008",

language = "English",

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T1 - Classification of hyperspectral medical tongue images for tongue diagnosis

AU - Zhi, Liu

AU - Zhang, Dapeng

AU - Yan, Jing qi

AU - Li, Qing Li

AU - Tang, Qun lin

PY - 2007/12/1

Y1 - 2007/12/1

N2 - Human tongue is one of the important organs of the body, which carries abound of information of the health status. The images of the human tongue that are used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras currently. However, this conversional method impedes the accurate analysis on the subjects of tongue surface because of the influence of illumination and tongue pose. To address this problem, this paper presents a novel approach to analyze the tongue surface information based on hyperspectral medical tongue images with support vector machines. The experimental results based on chronic Cholecystitis patients and healthy volunteers illustrate its effectiveness.

AB - Human tongue is one of the important organs of the body, which carries abound of information of the health status. The images of the human tongue that are used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras currently. However, this conversional method impedes the accurate analysis on the subjects of tongue surface because of the influence of illumination and tongue pose. To address this problem, this paper presents a novel approach to analyze the tongue surface information based on hyperspectral medical tongue images with support vector machines. The experimental results based on chronic Cholecystitis patients and healthy volunteers illustrate its effectiveness.

KW - Classification

KW - Hyperspectral tongue medical images

KW - Support vector machines (SVM)

UR - https://www.scopus.com/pages/publications/35348951970

U2 - 10.1016/j.compmedimag.2007.07.008

DO - 10.1016/j.compmedimag.2007.07.008

M3 - Journal article

SN - 0895-6111

VL - 31

SP - 672

EP - 678

JO - Computerized Medical Imaging and Graphics

JF - Computerized Medical Imaging and Graphics

IS - 8

ER -

Classification of hyperspectral medical tongue images for tongue diagnosis

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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