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Published in:
Introduction to Tongue Image Analysis Read chapter Read first chapter

2017 | OriginalPaper | Chapter

13. Hyperspectral Tongue Image Classification

Authors : David Zhang, Hongzhi Zhang, Bob Zhang

Published in: Tongue Image Analysis

Publisher: Springer Singapore

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Abstract

The human tongue is an important organ of the body, which carries information of the health status. The images of the human tongue that are currently used in computerized tongue diagnosis of traditional Chinese medicine (TCM) are all RGB color images captured with color CCD cameras. However, this conversional method impedes the accurate analysis of the tongue surface because of the influence of illumination and tongue pose. To address this problem, this chapter 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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previous chapter Statistical Analysis of Tongue Color and Its Applications in Diagnosis
next chapter Computerized Tongue Diagnosis Based on Bayesian Networks
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Metadata
Title
Hyperspectral Tongue Image Classification
Authors
David Zhang
Hongzhi Zhang
Bob Zhang
Copyright Year
2017
Publisher
Springer Singapore
Book
Tongue Image Analysis

Print ISBN: 978-981-10-2166-4

Electronic ISBN: 978-981-10-2167-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-2167-1_13

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