title: Motion detection and compensation in infrared retinal image sequences.
abstract: Infrared image data captured by non-mydriatic digital retinography systems often are used in the diagnosis and treatment of the diabetic macular edema (DME). Infrared illumination is less aggressive to the patient retina, and retinal studies can be carried out without pupil dilation. However, sequences of infrared eye fundus images of static scenes, tend to present pixel intensity fluctuations in time, and noisy and background illumination changes pose a challenge to most motion detection methods proposed in the literature. In this paper, we present a retinal motion detection method that is adaptive to background noise and illumination changes. Our experimental results indicate that this method is suitable for detecting retinal motion in infrared image sequences, and compensate the detected motion, which is relevant in retinal laser treatment systems for DME.
authors.affiliation: Instituto de Informática e Programa de Pós-Graduacão em Engenharia Elétrica, Universidade Federal do Rio Grande do Sul, Caixa Postal 15064, 91501-970 Porto Alegre, RS, Brazil. Electronic address: jacobs@inf.ufrgs.br.
authors.forename: J
authors.initials: J
authors.lastname: Scharcanski
authors.forename: L R
authors.initials: LR
authors.lastname: Schardosim
authors.forename: D
authors.initials: D
authors.lastname: Santos
authors.forename: A
authors.initials: A
authors.lastname: Stuchi
mesh_terms: D000465:Algorithms; D003941:Diagnostic Techniques, Ophthalmological; D005654:Fundus Oculi; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007259:Infrared Rays; D008269:Macular Edema / Q000175:diagnosis* / Q000503:physiopathology; D012160:Retina / Q000502:physiology*
keywords: Infrared imaging; Motion compensation; Motion detection; Retina imaging