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Paper Details
Paper Title
Detection of microaneurysm in fundus retinal images using SVM classifier
Authors
V.A.Aswale, J. A. Shaikh
Abstract
An eye disease caused due to diabetes is called as Diabetic Retinopathy (DR).This effects on small blood vessels in the retina, which may lead to blindness. The first sign of DR is detecting microaneurysm(MA),which appears in small circular spot. In this paper we proposed a method for detecting microaneurysm in retinal fundus images.Support vector machine(SVM) is used for giving the grades such as Normal, Mild, Moderate,& severe condition, based on the parameters related with MA like Area, perimeter, eccentricity, centroid. Matlab based GUI is implemented. According to the parameters, Accuracy, Sensitivity, Specificity is calculated. According to the Experimental results SVM has 93.33% accuracy.
Keywords- Fundus images, Diabetic retinopathy (DR), Microaneurysm(MA), Support vector machine (SVM) classifier, GUI.
Publication Details
Unique Identification Number - IJEDR1704027Page Number(s) - 175-180Pubished in - Volume 5 | Issue 4 | October 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
V.A.Aswale, J. A. Shaikh, "Detection of microaneurysm in fundus retinal images using SVM classifier", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.175-180, October 2017, Available at :http://www.ijedr.org/papers/IJEDR1704027.pdf
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