ScienceDirect® Home Skip Main Navigation Links
You have guest access to ScienceDirect. Find out more.
 
Home
Browse
My Settings
Alerts
Help
 Quick Search
 Search tips (Opens new window)
    Clear all fields    
advertisementadvertisement
Information Sciences
Volume 175, Issue 3, 14 October 2005, Pages 160-176
Medical Image Processing
 
Font Size: Decrease Font Size  Increase Font Size
 Abstract - selected
Article
Purchase PDF (408 K)

 
 
 
Related Articles in ScienceDirect
View More Related Articles
 
View Record in Scopus
 
doi:10.1016/j.ins.2005.01.010    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2005 Elsevier Inc. All rights reserved.

Tongue image analysis for appendicitis diagnosis

Bo Panga, David Zhangb, Corresponding Author Contact Information, E-mail The Corresponding Author and Kuanquan Wanga

aDepartment of Computer Science and Engineering, Harbin Institute of Technology (HIT), Harbin 150001, China bBiometrics Research Centre, Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong

Available online 16 February 2005.

Purchase the full-text article



References and further reading may be available for this article. To view references and further reading you must purchase this article.

Abstract

Medical diagnosis using the tongue is a unique and important diagnostic method of traditional Chinese medicine (TCM). However, the clinical applications of tongue diagnosis have been limited due to two factors: (1) tongue diagnosis is usually based on the capacity of the eye for detailed discrimination; (2) the correctness of tongue diagnosis depends on the experience of physicians; and (3) traditional tongue diagnosis is always dedicated to the identification of syndromes other than diseases. To address these problems, in this paper, we present a tongue-computing model (TCoM) for the diagnosis of appendicitis based on quantitative measurements that include chromatic and textural metrics. These metrics are computed from true color tongue images by using appropriate techniques of image processing. Applying our approach to clinical tongue images, the experimental results are encouraging.

Keywords: Tongue diagnosis; Tongue computing; Medical imaging

Article Outline

1. Introduction
2. Chromatic and textural features for tongue diagnosis
2.1. The image of the tongue of a patient with appendicitis
2.2. Quantitative features of the color of the tongue
2.3. Quantitative features of the texture of the tongue
3. Identification of filiform papilla
3.1. Typical figures and statistics of filiform papilla
3.2. Filter for filiform papilla
4. Experimental results and analysis
4.1. Evaluation basis for diagnosis
4.2. Performance on metrics for color
4.3. Performance on textural metrics
4.4. Performance of the FPF
5. Conclusion
Acknowledgements
References










Information Sciences
Volume 175, Issue 3, 14 October 2005, Pages 160-176
Medical Image Processing
 
Home
Browse
My Settings
Alerts
Help
Elsevier.com (Opens new window)
About ScienceDirect  |  Contact Us  |  Information for Advertisers  |  Terms & Conditions  |  Privacy Policy
Copyright © 2008 Elsevier B.V. All rights reserved. ScienceDirect® is a registered trademark of Elsevier B.V.