Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 40, Issue 2, Pages 124-137Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compbiomed.2009.11.009
Keywords
Optic disk segmentation; Mathematical morphology; Color fundus image
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Funding
- CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico, Brazil)
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The identification of some important retinal anatomical regions is a prerequisite for the computer aided diagnosis of several retinal diseases. In this paper, we propose a new adaptive method for the automatic segmentation of the optic disk in digital color fundus images, using mathematical morphology. The proposed method has been designed to be robust under varying illumination and image acquisition conditions, common in eye fundus imaging. Our experimental results based on two publicly available eye fundus image databases are encouraging, and indicate that our approach potentially can achieve a better performance than other known methods proposed in the literature. Using the DRIVE database (which consists of 40 retinal images), our method achieves a success rate of 100% in the correct location of the optic disk, with 41.47% of mean overlap. In the DIARETDB1 database (which consists of 89 retinal images), the optic disk is correctly located in 97.75% of the images, with a mean overlap of 43.65%. (C) 2009 Elsevier Ltd. All rights reserved.
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