Seamless Fundus image stitching using WLD to improve field of view
Muhammad Usman Akram, Daniyal Usmani, Tanveer Ahmad, Sarmad Abbas, Syeda Fouzia Noor · 2015
Digital Fundus images are used for the manifestation of many ocular and systemic diseases but the main problem with fundus cameras is that their captured images have a field of view limited to a maximum of 45 degrees. In order to increase the field view image stitching of the fundus images is required. This paper presents a new technique for stitching multiple fundus images of a single patient. The proposed method uses weber local descriptor for features extraction and presents a novel technique to achieve seamless blending. The paper also compares the proposed algorithm with the other state-of the art techniques like SURF, SIFT and ASIFT. A locally gathered dataset of 15 patients having 56 images with a minimum of 3 images per patient is used to evaluate the proposed system. The results show the significance of proposed system.