A Thorough Investigation on Performance Analysis of Retinal Image Processing Techniques

The detection of blood vessels from the retinal images is generally a slow process. Also, it is used to detect the diabetes in early stages by evaluating all the retinal blood vessels together. As digital imaging and computing power increasingly develop, so these technologies are used in ophthalmology. The main divisions include Image processing, Image analysis and Computer vision are increasingly becoming more prominence in all fields of medical science, and they are especially suited to the field of modern ophthalmology. Exciting developments in image processing relevant to ophthalmology over the past 15 years includes the progress being made towards developing a good solution for diseases such as diabetic retinopathy, age-related macular degeneration and retinopathy of prematurity. The quantitative measurements of retinal vascular topography using digital image analysis from retinal photography have been used as research tools to better understand the relationship between the retinal microvasculature and cardiovascular disease. Furthermore, advances in electronic media transmission increase the relevance of using image processing as an aid in clinical decision-making, with particular relevance to large rural-based communities. This paper mainly focuses on the phases involved in Retinal image processing and its concepts that can be more useful for the researcher’s to understand the basics.