Identification of Vessels from Retinal Image Analysis

Retinal Blood vessel morphology can be an important indicator for many diseases such as diabetes mellitus, hypertension and arteriosclerosis. The measurement of geometrical changes in retinal veins and arteries can be applied to a variety of clinical studies. The spotlight of this paper is developing the screening system with the aim of highly accurate and automated analysing tool for the ophthalmologists and the retinal researchers. Segmentation of the retinal blood vessels is an assistance to understand more about its morphology and will provide a better source of information for studying the various related diseases. Analysis is implicated with automated vessel tracing and registration of sub pixel accuracy. The correct identification of blood vessels will lead to the best diagnosis. The two problems addressed in this scheme are; the automatic vessel extraction which means the segmentation of the vessels with good accuracy and the identification of all vessels from the segmented vascular structure as finding the optimal vessel forest in the graph given a set of constraints. It could be the lay concrete on the future screening services of the ophthalmologic amenities.