Bleeding Detection in Retinal Images Using Image Processing

In this work, different algorithms for automatic detection of bleeding in the retina are investigated. Bleeding from retinal structures is an important indicator of various diseases in many individuals. Diabetes, hypertension, etc. diseases can easily be detected from the blood vessels in the retinal images. The bleedings to be detected in the retinal images taken with the fundus camera play an important role in determining the diabetes mellitus and the ability to see it in the later stages of the disease. Today, with the developing technologies, diagnosis and treatment of diseases are accelerating. In this work, developing image processing technologies with different algorithms are considered. In this study, different algorithms which have been applied in different studies have been combined and more advanced algorithms have been used to determine and decide the best method and the best result is. i.e. the best algorithm. As a result of the work done, the suggested method best method has been successful in the algorithms developed on the green channel.