Fundus image mosaic generation for large field of view

Digital fundus images are commonly used for computer aided diagnosis of different eye disease such as diabetic retinopathy, glaucoma, age related macular degeneration. One issue with fundus cameras is that they provide fundus image only for a small field of view (FOV). This paper presents a novel method to increase the FOV by stitching different fundus images from same patient. The proposed system uses ASIFT based descriptors and generates a blended image by combining all available images. The paper also compares the proposed system with corner, SURF and SIFT based descriptors for same application.