A morphologic two-stage approach for automated optic disk detection in color eye fundus images

Authors:
Daniel Welfer;Jacob Scharcanski;Diane Ruschel Marinho
Affiliations:
Campus Tecnológico de Alegrete, Universidade Federal do Pampa, Av. Tiarajú 810, Alegrete, RS, CEP 97546-550, Brazil;Instituto de Informática, Universidade Federal do Rio Grande do Sul, Av. Bento Gonçalves 9500, Porto Alegre, RS, CEP 91509-900, Brazil;Faculdade de Medicina, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2400, Porto Alegre, RS, CEP 90035-003, Brazil
Venue:
Pattern Recognition Letters
Year:
2013

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Abstract

A new adaptive morphological method for the automatic detection of the optic disk in digital color eye fundus images is presented in this paper. This method has been designed to detect the optic disk center and the optic disk rim. In our experiments with the DRIVE and DIARETDB1 databases, the proposed method was able to detect the optic disk center with 100% and 97.75% of accuracy, respectively. We considered correct all automatically detected optic disk location that is within the borders of the optic disk marked manually. Using our proposed method, the rim of the optic disk was detected in all images of the DRIVE database with average sensitivity and specificity of 83.54% and 99.81%, respectively, and on the DIARETDB1 database with average sensitivity and specificity of 92.51% and 99.76%, respectively.