Copyright © 2005 Elsevier Inc. All rights reserved.
Tongue image analysis for appendicitis diagnosis
Available online 16 February 2005.
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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
- 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







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