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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Support Vector Machine Based Method for Automatic Detection of Diabetic Eye Disease using Thermal Images
Authors Name: Mrinmayee Wankhade , Abhishek Yadav , Sonam Manwatkar , Supriya Sarak
Unique Id: IJSDR2001003
Published In: Volume 5 Issue 1, January-2020
Abstract: Diabetic eye disease is one of the major problems worldwide. Early detection of eye diseases increases the survival rate by successful treatment. The proposed methodology is to explore machine learning technique to detect diabetic diseased using thermography images of an eye and to introduce the effect of thermal variation of abnormality in the eye structure as a diagnosis imaging modality which are useful for ophthalmologists to do the clinical diagnosis. Thermal images are pre-processed, and then Gray Level Cooccurrence Matrix (GLCM) based texture features from gray images, statistical features from RGB and HSI images are extracted and classified using classifier with various combination of features. To detect diabetic diseased eye, here Support Vector Machine classifier is used for classification and their performance are compared. A 5-fold cross validation scheme is used to enhance the generalization capability of the proposed method. Experimental results obtained for various feature combinations gives maximum accuracy of 86. 22%, sensitivity of 94. 07% and specificity of 79. 17% using SVM classifier with five-fold validation.
Keywords: — Diabetic eye disease, Infrared Thermography, GLCM, Support Vector Machine
Cite Article: "Support Vector Machine Based Method for Automatic Detection of Diabetic Eye Disease using Thermal Images", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 1, page no.15 - 24, January-2020, Available :http://www.ijsdr.org/papers/IJSDR2001003.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2001003
Registration ID:191176
Published In: Volume 5 Issue 1, January-2020
DOI (Digital Object Identifier):
Page No: 15 - 24
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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