Detection of microaneurysm in fundus retinal images using SVM classifier
Fundus images, Diabetic retinopathy (DR), Microaneurysm(MA), Support vector machine (SVM) classifier, GUI.
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.
V.A.Aswale, J. A. Shaikh. "Detection of microaneurysm in fundus retinal images using SVM classifier".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.5, Issue 4, pp.175-180, URL :https://rjwave.org/ijedr/papers/IJEDR1704027.pdf
Volume 5 Issue 4
Pages. 175-180
