Application of Color-Based Segmentation Approach to Detect Berlin's Edema

Abstract

Berlin's edema is an initial condition to macular hole. This may progress to blindness as well, especially during acute traumatic maculopathy. In this paper an attempt has been made to locate Berlin's edema in a patient with acute traumatic maculopathy. Initially the fundus image has been pre-processed to sharpen the image. The processed image is then been used to locate the central macula for the diagnosis using color-based segmentation approach. This method is to help the ophthalmologists to detect any anatomical changes to the macula in patients with commotion ratinae or Berlin's edema directly from fundus camera images, rather than going for fluorescein angiography. The processing algorithms are developed on MATLAB 7.6.0 (R2008a) programming platform.