Application of Image Segmentation Techniques to Study Abnormalities in Fundus Images

Abstract

Findings from the fundus images of eye are very crucial in identifying various diseases of not only the eye but also the whole body. It plays a major role in finding the disease status from the fundus image. With the growing population it is not easy for the existing physicians to screen these many cases in the stipulated time. There are several software technologies in use to diagnose maximum cases in a short period of time.  Considering this as a great opportunity, this work is aimed to use several techniques to apply on fundus images to identify the quality of the techniques that perform the best to segment various parts of the fundus image and identify the best technique among the applied and compared with a quantitative analysis. Matlab program has used different segmentation and edge detection techniques to the fundus images and obtained qualitative results and for further precise analysis of the medical image for efficient and effective diagnosis of the abnormality or disease status. The same technique can be used to apply other types of medical images to get the results, useful for the physician to diagnose and treat the patient in a better way.