An imaging algorithm for rotation invariant automated macula localization in digital fundus images

Abstract

All rights reserved. The Macula is one of the important parts of the retina of the human eye, responsible for sharp central vision. Detection of the macula is an important task for an automated screening tool for different ocular pathologies. The proposed method presents an imaging method detect macula from fundus images automatically and which is invariant to image rotation. The proposed method includes a strategic region based method based on an adaptive arc which is used to detect macula efficiently. For experimentation purposes, normal and affected fundus images were collected from a local eye hospital to test the performance of the proposed method and achieved encouraging results. The method proposed for the detection of the macula is accurate, efficient and hence can be used in real time automated screening of various eye diseases.