Secondary glaucoma diagnosis technique using retinal nerve fiber layer arteries

Author

Bedke, Gangadevi C. ; Manza, Ramesh R. ; Patil, Dnyaneshwari D. ; Rajput, Yogesh M.

Author_Institution

Dept. of CS & IT, Dr. B.A.M. Univ., Aurangabad, India

fYear

2015

fDate

8-10 Jan. 2015

Firstpage

1

Lastpage

4

Abstract

Glaucoma is an eye disease. In glaucoma retinal nerve fiber layers are damaged and if it is not treated earlier then it can cause permanent vision loss. This paper represents algorithm for detection of glaucoma using retinal nerve fiber layers. For this work we have used 2D median filter and HAAR wavelet transform methods. For this work we have also used Drishti-GS dataset which contains 101 glaucomatous images and HRF (High Resolution Fundus image) database. We have extracted the retinal nerve fiber layer Arteries. Then we have calculated its area and diameter. On the normal database we got the 100% result. We got 71.28% accuracy on glaucomatous images and when we have combined the normal and glaucomatous images then we got the 62.06% accuracy.

Keywords

blood vessels; diseases; eye; feature extraction; median filters; medical image processing; wavelet transforms; 2D median filter; Drishti-GS dataset; HAAR wavelet transform method; eye disease; glaucomatous images; high resolution fundus image database; retinal nerve fiber layer arteries; secondary glaucoma diagnosis technique; Arteries; Databases; Nerve fibers; Optical fibers; Optical filters; Retina; 2D Median Filter; Arteries; DRISHTI-GS; HAAR wavelet; HRF; Retinal Nerve fiber Layers;

fLanguage

English

Publisher

ieee

Conference_Titel

Pervasive Computing (ICPC), 2015 International Conference on

Conference_Location

Pune

Type

conf

DOI

10.1109/PERVASIVE.2015.7087140

Filename

7087140