Detection of Optic Disc Boundary in Fundus Image of Eye

Abstract

With the development of digital image techniques, modeling, and processing, automatic detection of diseases like diabetic retinopathy, Diabetic Macular Edema and glaucoma etc. has become an important screening task. Detection of optic disc pixel and its boundary are main and essential tasks concerning the retinal images to automate the calculation related to some prevailing systemic disorders, such as hypertension, cardiovascular diseases, diabetes
and Glaucoma etc. Extraction of Optic Disc should be done properly so as to correctly identify these diseases. This report presents a new method which tries to detect Optic Disc more correctly using Morphological techniques followed by edge detection and Circular Hough Transform. For this, it first pre-processing is done for quality enhancement. Next
step is to detects Optic Disc Pixel. Then blood vessels are extracted by Matching Filter-First Order Gaussian Derivatives. Lastly Optic Disc boundary localization is done using circular Hough Transform. For this purpose, Dataset of DIARETDB1 is used consisting of 89 images. The result of the proposed method has an average overlapping of 0.82 and Optic
Disc localization accuracy of 88.75%. Result of Proposed method is then gets compared with other existed methods in the Result and Analysis section.