title: Retinal image registration under the assumption of a spherical eye.
abstract: We propose a method for registering a pair of retinal images. The proposed approach employs point correspondences and assumes that the human eye has a spherical shape. The image registration problem is formulated as a 3D pose estimation problem, solved by estimating the rigid transformation that relates the views from which the two images were acquired. Given this estimate, each image can be warped upon the other so that pixels with the same coordinates image the same retinal point. Extensive experimental evaluation shows improved accuracy over state of the art methods, as well as robustness to noise and spurious keypoint matches. Experiments also indicate the method's applicability to the comparative analysis of images from different examinations that may exhibit changes and its applicability to diagnostic support.
authors.affiliation: Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece; Computer Science Department, University of Crete, Heraklion, Greece.
authors.forename: Carlos
authors.initials: C
authors.lastname: Hernandez-Matas
authors.affiliation: Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece.
authors.forename: Xenophon
authors.initials: X
authors.lastname: Zabulis
authors.affiliation: Department of Internal Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
authors.forename: Areti
authors.initials: A
authors.lastname: Triantafyllou
authors.affiliation: Department of Internal Medicine, Papageorgiou Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
authors.forename: Panagiota
authors.initials: P
authors.lastname: Anyfanti
authors.affiliation: Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH), Heraklion, Greece; Computer Science Department, University of Crete, Heraklion, Greece.
authors.forename: Antonis A
authors.initials: AA
authors.lastname: Argyros
mesh_terms: D000465:Algorithms; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D012160:Retina / Q000000981:diagnostic imaging*
keywords: Medical imaging; Particle Swarm Optimization; Pose estimation; Retinal image registration