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A Morphological Approach for the Fovea Location in Color Fundus Images
Daniel Welfer, Jacob Scharcanski, Diane Ruschel Marinho
3 - 8
10.3233/978-1-58603-979-0-3
Studies in Health Technology and Informatics
Volume 143: Advances in Information Technology and Communication in Health
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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