Automation of Fundus Image Analysis for Glaucoma Detection

Abstract

To visualize the beauty of creation one needs perfect vision. The world is full of color and to enjoy this the Creator has provided us with two beautiful body organs. These organs are the most sensitive and precious body parts of a human being. In modern age, due to the regular different kinds of environmental pollution such as dust, radioactive rays etc. a human daily faces a lot of difficulties to maintain his or her precious vision. In Bangladesh, most people are unaware of eye related problems thus they are unable to detect eye related diseases in their initial state. When these diseases reach a critical state people start looking for proper treatments. But these treatments are very expensive and time consuming and often doctors are unable to heal them properly due to the late detection of the diseases. Out of these eye diseases one is highly hazardous as it attacks our brain fluid directly. With the help of machine learning and image processing this highly hazardous disease can be detected at its early stages. And early detection can help to minimize the effect on the human eye.