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		<doi>10.1109/SIBGRAPI.2016.023</doi>
		<citationkey>GarciaKreuWelf:2016:NoMeDe</citationkey>
		<title>A novel method for detecting the fovea in fundus images of the eye</title>
		<format>On-line</format>
		<year>2016</year>
		<numberoffiles>1</numberoffiles>
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		<author>Garcia, Pedro de Moura,</author>
		<author>Kreutz, Diego Luis,</author>
		<author>Welfer, Daniel,</author>
		<affiliation>Universidade Federal do Pampa (UNIPAMPA)</affiliation>
		<affiliation>Universidade Federal do Pampa (UNIPAMPA)</affiliation>
		<affiliation>Universidade Federal de Santa Maria (UFSM)</affiliation>
		<editor>Aliaga, Daniel G.,</editor>
		<editor>Davis, Larry S.,</editor>
		<editor>Farias, Ricardo C.,</editor>
		<editor>Fernandes, Leandro A. F.,</editor>
		<editor>Gibson, Stuart J.,</editor>
		<editor>Giraldi, Gilson A.,</editor>
		<editor>Gois, João Paulo,</editor>
		<editor>Maciel, Anderson,</editor>
		<editor>Menotti, David,</editor>
		<editor>Miranda, Paulo A. V.,</editor>
		<editor>Musse, Soraia,</editor>
		<editor>Namikawa, Laercio,</editor>
		<editor>Pamplona, Mauricio,</editor>
		<editor>Papa, João Paulo,</editor>
		<editor>Santos, Jefersson dos,</editor>
		<editor>Schwartz, William Robson,</editor>
		<editor>Thomaz, Carlos E.,</editor>
		<e-mailaddress>daniel.welfer@ufsm.br</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 29 (SIBGRAPI)</conferencename>
		<conferencelocation>São José dos Campos, SP, Brazil</conferencelocation>
		<date>4-7 Oct. 2016</date>
		<publisher>IEEE Computer Society´s Conference Publishing Services</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>fovea,image processing,cross-correlation,Diabetic retinopathy.</keywords>
		<abstract>In this paper we propose a novel method for &#64257;nding the fovea in colored images of the eye fundus. We use an image correlation coef&#64257;cient to &#64257;nd 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%.</abstract>
		<language>en</language>
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		<usergroup>daniel.welfer@ufsm.br</usergroup>
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