title: Optic disc and macula detection in fundus images by means of template matching.
abstract: Various methods for detecting optic disc and macula in fundus images have been developed. Our aim is to propose a fairly easy method for detecting both features jointly. This is achieved by first correcting in homogenous luminosity using a polynomial approximation of the background of the images. Secondly, the use of the cross-correlation in the frequency domain between the images and a steerable template which contains both structures. The 38 photographs used in this work belong to a local database of patients suffering diabetic retinopathy along its four severity stages. Our results showed 100% optic disc centers located within the OD area and 90% macula centers located within the MC area.
authors.forename: Tzolkin
authors.initials: T
authors.lastname: Garduno-Alvarado
authors.forename: M Elena
authors.initials: ME
authors.lastname: Martinez-Perez
authors.forename: Maria A
authors.initials: MA
authors.lastname: Martinez-Castellanos
authors.forename: Luvia
authors.initials: L
authors.lastname: Rodriguez-Quinones
authors.forename: Samantha M
authors.initials: SM
authors.lastname: Salinas-Longoria
mesh_terms: D000465:Algorithms; D003930:Diabetic Retinopathy / Q000175:diagnosis*; D005654:Fundus Oculi; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008266:Macula Lutea / Q000473:pathology*; D009898:Optic Disk / Q000473:pathology; D012680:Sensitivity and Specificity