Imaging techniques for the eye include fundus camera, OCT etc of which the most widely used and economical one is the use of fundus camera. Images obtained from this camera are 2D in nature. Analysis of 2D data requires a lot of expertize. This makes it necessary for a 3D reconstruction of the 2D fundus image which would help doctors in their analysis and treatment plan. 3D retinal image would ...

Segmentation of blood vessels in retinal images is an important part in retinal image analysis for diagnosis and treatment of eye diseases for large screening systems. In this paper, we addressed the problem of background and noise extraction from retinal images. Blood vessels usually have central light reflex and poor local contrast, hence the results yield by blood vessel segmentation algorit...

Diabetic retinopathy is a severe sight threatening disease which causes blindness among working age people. This research work presents a retinal vessel segmentation technique, which can be used in computer based retinal image analysis. This proposed method could be used as a prescreening system for the early detection of diabetic retinopathy. The algorithm implemented in this work can be effec...

this paper presents an automated method for detecting microaneurysms in the retinal angiographic images by using image processing techniques. in the presented method, in order to fade or remove the pseudo images, first retinal images are pre-processed. then microaneurysms are identified by circular hough transform. in the existing methods of detecting microaneurysms, it is necessary to identify...

Retina imaging technology is an effective control method for early diagnosis and early treatment of the diabetic retinopathy. In this paper, a fast robust inverse diffusion equation combining a blockwise filtering is presented to detect and evaluate diabetic retinopathy using retinal image enhancement. A flux corrected transport technique is used to control diffusion flux adaptively, which elim...

3D modelling has gained lot of importance in the field of medical Image analysis. 3D models give the depth information of the object which is very useful in visualization. The analysis of the blood vessels in the retinal image is helpful for identifying the different diseases such as stages of diabetic retinopathy, glaucoma etc.3D retinal blood vessels would be helpful in explaining to patients...