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Reseach Article

Extraction of Cotton Wool Spot using Multi Resolution Analysis and Classification using K-Means Clustering

Published on April 2015 by Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari
National conference on Digital Image and Signal Processing
Foundation of Computer Science USA
DISP2015 - Number 1
April 2015
Authors: Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari
cccf6b63-5790-4038-84ad-1b726a80e6c1

Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari . Extraction of Cotton Wool Spot using Multi Resolution Analysis and Classification using K-Means Clustering. National conference on Digital Image and Signal Processing. DISP2015, 1 (April 2015), 6-10.

@article{
author = { Yogesh M. Rajput, Ramesh R. Manza, Manjiri B. Patwari },
title = { Extraction of Cotton Wool Spot using Multi Resolution Analysis and Classification using K-Means Clustering },
journal = { National conference on Digital Image and Signal Processing },
issue_date = { April 2015 },
volume = { DISP2015 },
number = { 1 },
month = { April },
year = { 2015 },
issn = 0975-8887,
pages = { 6-10 },
numpages = 5,
url = { /proceedings/disp2015/number1/20476-3003/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National conference on Digital Image and Signal Processing
%A Yogesh M. Rajput
%A Ramesh R. Manza
%A Manjiri B. Patwari
%T Extraction of Cotton Wool Spot using Multi Resolution Analysis and Classification using K-Means Clustering
%J National conference on Digital Image and Signal Processing
%@ 0975-8887
%V DISP2015
%N 1
%P 6-10
%D 2015
%I International Journal of Computer Applications
Abstract

Diabetic is one of the leading disease all over in the world. The patient who is suffer with the diabetic, they may cause the diabetic retinopathy. Diabetic retinopathy categorize into the no of lesions such as microaneurysms, hemorrhages, cotton wool spots and exudates. Cotton wool spots are caused by retinal nerve fiber layer microinfarcts. Detonated retinal ganglion cell axons extrude their axoplasm like toothpaste. Proposed algorithm is develop for extraction of cotton wool spot lesion from the fundus images. For extraction of this lesion we apply multi resolution analysis by using symlet wavelet on fundus images databases. Like STARE, DRIVE, DiarectDB0, DiarectDB1 & SASWADE. After extraction of the lesion we apply K-Means clustering algorithm for the classification. The proposed algorithm is achieves 92% accuracy for lesions extraction.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Multi Resolution Analysis Cotton Wool Spot K-means Clustering