Detection of diabetic macular edema in retinal images using a region based method

Diabetic macular edema (DME) is one of the severe complication of Diabetic Retinopathy. In this paper a method is proposed to detect the macula centre which is independent of optic disc location. Grading of DME is done by dividing the image of retina in different regions according to the international standard. Disease severity is accessed using scaling of bright lesions in macular regions. In this method search region for detection of macula is adaptive to the size of image. Independency from optic disc detection to detect the macula is an efficient method because it is unaffected by wrong detection of optic disc position under the presence of noises and reflections. The proposed method is tested on 100 images of MESSIDOR database and has achieved good accuracy 80 to 90 % for different cases.