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Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image

Published on October 2013 by G. Anidha, U.sabura Banu
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National Conference on Recent Trends in Computer Applications
Foundation of Computer Science USA
NCRTCA - Number 1
October 2013
Authors: G. Anidha, U.sabura Banu
9807919b-1b1d-463c-833c-e333023ca0c1

G. Anidha, U.sabura Banu . Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image. National Conference on Recent Trends in Computer Applications. NCRTCA, 1 (October 2013), 32-36.

@article{
author = { G. Anidha, U.sabura Banu },
title = { Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image },
journal = { National Conference on Recent Trends in Computer Applications },
issue_date = { October 2013 },
volume = { NCRTCA },
number = { 1 },
month = { October },
year = { 2013 },
issn = 0975-8887,
pages = { 32-36 },
numpages = 5,
url = { /proceedings/ncrtca/number1/13638-1310/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Recent Trends in Computer Applications
%A G. Anidha
%A U.sabura Banu
%T Adaptive Neuro Fuzzy Inference System Assisted Diagnosis of Diabetic Retinopathy from Fundus Image
%J National Conference on Recent Trends in Computer Applications
%@ 0975-8887
%V NCRTCA
%N 1
%P 32-36
%D 2013
%I International Journal of Computer Applications
Abstract

In this paper, it is proposed to detect the exudates in the retinal image and to classify the severity stages caused by the exudates and non-exudates using Adaptive Neuro Fuzzy Inference System (ANFIS). The retinal image used for this project work is subjected to the preprocessing steps such as green channel extraction, median filter, histogram equalization and contrast enhancement. Then the image is subjected to morphological operation for dilation and erosion. Optic disk is eliminated by connected component technique and statistical features like exudates area, size, color, energy, skewness, kurtosis, entropy, homogeneity and texture properties are extracted. The features are now classified to identify the normal eye and affected eye. The classification is accomplished using ANFIS.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Retina Exudates Diabetic Retinopathy Adaptive Neuro Fuzzy Inference System Classification