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By Using Tongue Feature Extraction, Detection of Diabetes Mellitus
ISSN: 2348 - 2273
Publisher: author
By Using Tongue Feature Extraction, Detection of Diabetes Mellitus
Indexed in
Technology and Engineering
ARTICLE-FACTOR
1.3
Article Basics Score: 2
Article Transparency Score: 2
Article Operation Score: 2
Article Articles Score: 3
Article Accessibility Score: 2
SUBMIT PAPER ASK QUESTION
International Category Code (ICC):
ICC-1802
Publisher: International Journal Of Electrical Electronics & Computer..
International Journal Address (IAA):
IAA.ZONE/234857392273
eISSN
:
2348 - 2273
VALID
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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.
