%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2016/07.21.14.12
%2 sid.inpe.br/sibgrapi/2016/07.21.14.12.52
%@doi 10.1109/SIBGRAPI.2016.023
%T A novel method for detecting the fovea in fundus images of the eye
%D 2016
%A Garcia, Pedro de Moura,
%A Kreutz, Diego Luis,
%A Welfer, Daniel,
%@affiliation Universidade Federal do Pampa (UNIPAMPA)
%@affiliation Universidade Federal do Pampa (UNIPAMPA)
%@affiliation Universidade Federal de Santa Maria (UFSM)
%E Aliaga, Daniel G.,
%E Davis, Larry S.,
%E Farias, Ricardo C.,
%E Fernandes, Leandro A. F.,
%E Gibson, Stuart J.,
%E Giraldi, Gilson A.,
%E Gois, João Paulo,
%E Maciel, Anderson,
%E Menotti, David,
%E Miranda, Paulo A. V.,
%E Musse, Soraia,
%E Namikawa, Laercio,
%E Pamplona, Mauricio,
%E Papa, João Paulo,
%E Santos, Jefersson dos,
%E Schwartz, William Robson,
%E Thomaz, Carlos E.,
%B Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)
%C São José dos Campos, SP, Brazil
%8 4-7 Oct. 2016
%I IEEE Computer Society´s Conference Publishing Services
%J Los Alamitos
%S Proceedings
%K fovea,image processing,cross-correlation,Diabetic retinopathy.
%X In this paper we propose a novel method for finding the fovea in colored images of the eye fundus. We use an image correlation coefficient to find the fovea, which is calculated from a set of template images of the fovea. The results, using the DIARETDB1 database, indicate that our method detects the fovea region with an accuracy of 82,02%.
%@language en
%3 SIBGRAPI - v7.pdf