The evolution of the quality of vision is a direct consequence of the deterioration of the vascular tree caused by diabetes.
Most diagnosis require comparison of various images provided by different sources, spaced in time.
Furthermore vascular abnormalities can deeply modify the aspect of the eye fundus. We are faced with a problem of multimodal and temporal registration with possible occlusion effects. In order to solve such a difficulty, we have chosen to detect the vascular tree and we use a registration algorithm that deals with occlusion effects. The result appears below, the detection of the vessels appears in white for the angiographic image, in black for the green image and in grey where it is superimposed.