Open AccessAutomatic Detection of Microaneurysms and Hemorrhages in Color Eye Fundus Images
Author(s) -
Sérgio Bortolin Júnior,
Daniel Welfer
Publication year - 2013
Publication title -
international journal of computer science and information technology/international journal of computer science and information technology (chennai. print)
Language(s) - English
Resource type - Journals
eISSN - 0975-4660
pISSN - 0975-3826
DOI - 10.5121/ijcsit.2013.5502
Subject(s) - fundus (uterus) , diabetic retinopathy , computer science , blindness , artificial intelligence , fundus camera , retinal , ophthalmology , retinopathy , population , retina , computer vision , optometry , diabetes mellitus , medicine , ophthalmoscopy , optics , physics , environmental health , endocrinology
This paper presents an approach for automatic detection of microaneurysms and hemorrhages in fundusimages. These lesions are considered the earliest signs of diabetic retinopathy. The diabetic retinopathy isa disease caused by diabetes and is considered as the major cause of blindness in working age population.The proposed method is based on mathematical morphology and consists in removing components ofretinal anatomy to reach the lesions. This method consists of five stages: a) pre-processing; b)enhancement of low intensity structures; c) detection of blood vessels; d) elimination of blood vessels; e)elimination of the fovea. The accuracy of the method was tested on a public database of fundus images,where it achieved satisfactory results, comparable to other methods from the literature, reporting 87.69%and 92.44% of mean sensitivity and specificity, respectively