Computer — Aided localization of the optic disc based on textural features

Author

Popescu, Dan ; Ichim, Loretta ; Caramihale, Traian

Author_Institution

Fac. of Autom. Control & Comput., Univ. Politeh. of Bucharest, Bucharest, Romania

fYear

2015

fDate

7-9 May 2015

Firstpage

307

Lastpage

312

Abstract

In this paper, we developed a simple and efficient method for identifying and automatic detection of the position of the optic disc and also the optic nerve in retinal images. The detection is performed by applying a gliding-box type algorithm and a decision criterion based on the extreme of the selected features. The size of the windows considered as sub-images was taken so that they include the optic disc of all the images from STARE database. The results indicate a good rate of detection of the optic disc.

Keywords

eye; feature selection; image texture; medical image processing; object detection; visual databases; STARE database; decision criterion; feature selection; gliding-box type algorithm; optic disc computer-aided localization; optic disc position automatic detection; optic disc position identification; optic nerve; retinal image; textural features; Algorithm design and analysis; Feature extraction; Fractals; Integrated optics; Optical filters; Optical imaging; Retina; gliding-box algorithm; image processing; optic disc localization; retinal images; textural features;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Topics in Electrical Engineering (ATEE), 2015 9th International Symposium on

Conference_Location

Bucharest

Type

conf

DOI

10.1109/ATEE.2015.7133820

Filename

7133820