Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Tongue Based Diagnosis System Using MATLAB

Author : A.V.Sowjanya 1 Dr.M.Satyanarayana 2 P. Surya Prasad 3

Date of Publication :7th August 2016

Abstract: Tongue diagnosis is carried out using MATLAB Software on tongue images having cracks and the results gives the problems associated with the given tongue image. The human tongue carries information about the status of health of a person. A crack on the tongue is also called as a scrotal tongue or fissured tongue, is a condition by deep groves in the dorsum of the tongue. The major areas that we examine for tongue diagnosis are shape, color and cracks on the tongue. Chronic disorders are also revealed by cracks on the tongue. Thus a crack on the images of tongue tells the health condition of a human being. A deep crack in the center reaching to the tip reflects hyper activity of Heart fire. Cracks in the center line reveal back problems. If cracks exhibited horizontally, then it is caused to deep and long standing emotional problems. One crack down in the middle is an indication of nerve disorder. If the crack extends to the tip of the tongue then heart and lungs may be stressed.

Reference :

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    2.Qingli Li-Hyper spectral Imaging Technology Used in Tongue Diagnosis, Key Laboratory of Polor Materials and Devices, East China Normal University, China.

    3. Tina Lidia J, Prof. Hussain Ahmed, Tongue Image Analysis for Medical Diagnosis, International Journal of Scientific Engineering and Technology Research Volume.04, Issue No.12, May-2015, Pages: 2263-2268

    4.Ruizhi liao, aidi tan, hongfei cui, shao li, xuegong zhang, An Automatic Method for evaluating the severity of tongue fissures from images, MOE key lab of bioinformatics and bioinformatics div, TNLIST, department of automation, Department Of Electronical Engineering,Tsinghua University, Beijing, China

    5.Uma devi and T. Ravi, Disease diagnosis for various signs using tongue color image segmentation, Australian journal of basic and applied sciences, 9(10) special 2015, pages: 341- 348, issn:1991-8178 6. Walter Shantree Kacera ―Ayurvedic Tongue Diagnosis Mothilal Banarsidass publications, Delhi.


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