DETECTION OF DIABETES MELLITUS WITH THE TONGUE FEATURES

Authors

  • MISS. MINAL A. LOHAR Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, India
  • DR. K. R. DESAI Department of Electronics and Telecommunication Engineering, Bharati Vidyapeeth’s College of Engineering, Kolhapur, India

Keywords:

Diabetes Mellitus Detection, Non-Proliferative Diabetic Retinopathy features,, Image Pre-processing

Abstract

A non-invasive approach is proposed which uses color, texture and geometry features for diagnosis to detect diabetic mellitus. Diabetic Mellitus (DM) & its complication towards retinopathy is world’s major health problem. This paper suggest technique for classifying health & DM samples by obtaining tongue images using capture device. By color space conversion & region based segmentation, images are pre-processed. Then the extraction of features i.e., color, texture & geometry is done. The classification of healthy(normal) /DM(abnormal) tongues are obtained by combination of all these features fuzzy logic.

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Published

2021-03-27

Issue

Vol. 4 No. 4 (2017): IJIERT

Section

Articles

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How to Cite

MISS. MINAL A. LOHAR, & DR. K. R. DESAI. (2021). DETECTION OF DIABETES MELLITUS WITH THE TONGUE FEATURES. International Journal of Innovations in Engineering Research and Technology, 4(4), 1-8. https://repo.ijiert.org/index.php/ijiert/article/view/1345