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Disease Diagnosis by Means of Segmented tongue Image Classification Exhausting Neural Networks

N. Dhanaraj*, R. Sam Wesley**, S. Santhiya***, K. Sathya****, G. Sivasathya*****

* Assistant Professor, Department of Electronics and Communication Engineering, Jay Shriram Group of Institutions, Tirupur.

**-***-****-***** Department of Electronics and Communication Engineering, Jay Shriram Group of Institutions, Tirupur

Periodicity:March - May'2014
DOI : https://doi.org/10.26634/jpr.1.1.2821

Abstract

The tongue has many relationships and acquaintances in the body, both to the peaks and the internal organs. It can present strong visual pointers of a person's overall agreement or disagreement. Tongue diagnosis has played such a prominent role in the diagnosis. The tongue is a muscular organ in the oral cavity that is associated with the function of deglutition, taste and speech. It acts as an easily accessible mirror of the health of a person, and indicates the state of hydration of the body. Some characteristic changes occur in the tongue in some particular diseases. In this paper, the tongue image of the patient is captured by digital camera and then the disease affected part of the tongue is segmented by threshold based algorithm which separate tongue from all other features like teeth, skin etc. The image will be classified based on the features extracted from the segmented part exhausting Neural Networks.

Keywords

Tongue Diagnosis (TCM), Tongue Segmentation, Neural Networks.

How to Cite this Article?

Dhanaraj, N., Wesley, R. S., Santhiya, S., Sathya, K., and Sivasathya, G. (2014). Disease Diagnosis by Means of Segmented Tongue Image Classification Exhausting Neural Networks. i-manager’s Journal on Pattern Recognition, 1(1), 23-29. https://doi.org/10.26634/jpr.1.1.2821

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