Detection of macula and fovea for disease analysis in color fundus images

Author

Deka, Dharitri ; Medhi, Jyoti Prakash ; Nirmala, S.R.

Author_Institution

Dept. of ECE, Gauhati Univ., Guwahati, India

fYear

2015

fDate

9-11 July 2015

Firstpage

231

Lastpage

236

Abstract

For the diagnosis of several retinal diseases, such as Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), Age-related Macular degeneration (AMD) detection of macula and fovea is considered as an important prerequisite. If any abnormality like haemorrhages, exudates fall over macula then vision is severely effected and at higher stage people may become blind. In this paper a new approach for detection of macula and fovea is presented. Investigating the structure of blood vessels (BV) in the macular region localization of macula is done. The proposed method is tested on both normal and diseased images using DRIVE, MESSIDOR, DIARETDB1, HRF, STARE databases.

Keywords

blood vessels; diseases; eye; image colour analysis; medical image processing; AMD detection; BV; DIARETDB1 database; DME; DR; DRIVE database; HRF database; MESSIDOR database; STARE database; age-related macular degeneration; blood vessels; color fundus images; diabetic macular edema; diabetic retinopathy; disease analysis; diseased images; exudates; fovea detection; haemorrhages; macula detection; macular region localization; normal images; retinal diseases diagnosis; Biomedical imaging; Blood vessels; Databases; Diabetes; Discrete wavelet transforms; Image color analysis; Retina; Age-related Macular degeneration; Blood Vessels; Diabetic Macular Edema; Fovea; Macula;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Trends in Information Systems (ReTIS), 2015 IEEE 2nd International Conference on

Conference_Location

Kolkata

Type

conf

DOI

10.1109/ReTIS.2015.7232883

Filename

7232883