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Updated: Jun 23, 2026

Quantitative Fundus Autofluorescence for the Evaluation of Retinal Diseases
Published on: March 11, 2016
A morphological approach for the fovea location in color fundus images
Daniel Welfer1, Jacob Scharcanski, Diane Ruschel Marinho
1Instituto de Informática, Universidade Federal do Rio Grande do Sul, RS, Brazil. daniel.welfer@inf.ufrgs.br
Abstract:
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.
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