An automated imaging algorithm for macula detection in fundus images

Abstract

The Macula is an important part of the retina of human eye which is responsible for sharp central vision. Accurate and automatic detection of macula from fundus images is an essential step to develop automated screening tool for ocular pathologies. The proposed work presents an imaging method for detection of macula in fundus images automatically. The proposed method includes a strategic windowing based approach for accurate detection of macula. Instead of searching macula from whole fundus image, a search region is considered with the help of optic disc and then macula is detected from that search region using double windowing based method. Normal and affected fundus images from a local eye hospital were used to test the performance of proposed method and achieved encouraging results. The proposed method of macula detection is accurate, computationally cheap and hence can be helpful in real time automated screening of various eye diseases.