Open AccessDiabetic Maculopathy Detection using Image Processing
Author(s) -
J. Pradeepkandhasamy,
S. Balamurali,
M. Arun,
Muralindran Mariappan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1102.1291s419
Subject(s) - diabetic retinopathy , maculopathy , medicine , ophthalmology , retina , image processing , retinal , optometry , retinopathy , artificial intelligence , blindness , computer science , computer vision , diabetes mellitus , psychology , image (mathematics) , neuroscience , endocrinology
Diabetic Retinopathy (DR) is a serious eye disease caused to human beings having diabetics. DR will affect the retina of the eye and even it may lead to complete blindness. It is essential to have an early treatment for the diagnosis of DR to avoid blindness. There are many physical tests like visual test, pupil dilation to detect retinopathy but all are time consuming processes. For diabetic retinopathy, it needs a continuous monitoring process. The main objective of this work is to detect diabetic maculopathy which is one of the major retinal abnormalities found among diabetic persons. Diabetic maculopathy is detected using image processing technique. In image processing techniques, we use image pre processing to reduce the noise and use segmentation process to extract the features of the macula. After that the features are compared using the classifier algorithm and the performances are measured using the accuracy, sensitivity and specificity.