A morphological approach for the fovea location in color fundus images.
This paper presents a novel method for the detection of the fovea center in color fundus images. The method was evaluated using a set of 89 images from the DIARETDB1 project, which contains images presenting normal and pathological situations. Using the Mean Absolute Distance (MAD) as a metric, we report 7.37+/-8.89 (mean +/- standard deviation) detection performance for the fovea center which represents an improvement in comparison to other state-of-the-art methods in the literature.
Welfer
Daniel
D
Instituto de Informática, Universidade Federal do Rio Grande do Sul, RS, Brazil. daniel.welfer@inf.ufrgs.br
Scharcanski
Jacob
J
Marinho
Diane Ruschel
DR
D000465:Algorithms; D003116:Color; D005584:Fovea Centralis; D005654:Fundus Oculi; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000592:standards; D008268:Macular Degeneration / Q000473:pathology