Review on: Identification of all True Vessels from Retinal Images

Retinal images has numerous qualitative procedures can be used in more applications, such as ocular fundus operations with human recognition. Likewise, it plays important roles in detection of a few diseases in premature stages, such as diabetes, which can be performed by evaluation of the states of retinal blood vessels. Image processing, analysis and computer vision techniques are increasing in prominence in all fields of medical science, and are especially pertinent to modern ophthalmology, as it is heavily dependent on visually oriented signs. The diagnostic systems offer the potential to be used in large-scale screening programs, with the potential for significant resource savings, as well as being free from observer bias and fatigue. In addition, 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. The wrong identification of vessels may result in a large variation of these measurements, leading to a wrong clinical diagnosis. This paper is about identifying true vessels as a post processing step to vascular structure segmentation.