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.

Downloads

Published

2021-03-27

Issue

Vol. 4 No. 4 (2017): IJIERT

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Under the Creative Commons Attribution- 4.0 International License (CC BY-4.0 DEED).

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

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