DocumentCode :
1995037
Title :
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
Link To Document :
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