RIM-ONE: An open retinal image database for optic nerve evaluation

Author

Fumero, F. ; Alayon, S. ; Sanchez, J.L. ; Sigut, J. ; Gonzalez-Hernandez, M.

Author_Institution

Dept. of Syst. Eng., Univ. of La Laguna, La Laguna, Spain

fYear

2011

fDate

27-30 June 2011

Firstpage

1

Lastpage

6

Abstract

Automated diagnosis of glaucoma disease has been studied for years. A great amount of research work in this field has been focused on the analysis of retinal fundus images to localize, detect and evaluate the optic disc. An open fundus image database with accurate gold standards of the optic nerve head has been implemented. A variability measurement by zones of the optic disc is also proposed. The relevance of this work is to provide accurate ONH segmentations and a segmentation assessment procedure to allow the design of computerized methods for glaucoma detection.

Keywords

image recognition; image segmentation; medical image processing; patient diagnosis; visual databases; ONH segmentations; RIM-ONE; automated diagnosis; glaucoma detection; glaucoma disease; open fundus image database; open retinal image database; optic nerve evaluation; Biomedical optical imaging; Databases; Gold; Hospitals; Image segmentation; Optical imaging; Retina;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2011 24th International Symposium on

Conference_Location

Bristol

ISSN

1063-7125

Print_ISBN

978-1-4577-1189-3

Type

conf

DOI

10.1109/CBMS.2011.5999143

Filename

5999143