By Using Tongue Feature Extraction, Detection of Diabetes Mellitus
Journal: International Journal of Electrical, Electronics & Computer Science Engineering (Vol.4, No. 2)Publication Date: 2017-04-30
Authors : Minal A. Lohar K. R. Desai;
Page : 08-12
Keywords : Image Pre-Processing; Tongue Color Features; Tongue Texture Feature; Tongue Geometry Feature; Diabetes Mellitus Detection; Non-Proliferative Diabetic Retinopathy Features; Matlab.;
Abstract
The major health problem in Worldwide is Diabetes Mellitus. To detect the diabetes mellitus and its NPDR, a non-invasive approach is proposed which uses tongue color, texture & geometry features for diagnosis. A tongue color gamut is established with 12 colors which represents the tongue color features. On the tongue surface, the texture values of blocks strategically located with the additional mean of all eight blocks are used to characterize the nine tongue texture features. And on the basis of measurements, distances, areas and their ratios their 13 features extracted which represents the geometry features. On the combination of these features, we can classify healthy & DM person from their tongue images.
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