DOIONLINE

DOIONLINE NO - IJEEDC-IRAJ-DOIONLINE-575

Publish In
International Journal of Electrical, Electronics and Data Communication (IJEEDC)-IJEEDC
Journal Home
Volume Issue
Issue
Volume-2,Issue-4  ( Apr, 2014 )
Paper Title
Detection Of Fovea Region In Fundus Retinal Image Using Wavelet Transform And Fuzzy C-Means Clustering
Author Name
Varalekshmi V.R., P.Janardhanan.
Affilition
Department of Electronics & Communication Engineering, KMCT College of Engineering Calicut
Pages
13-16
Abstract
Abstract – Analysis of retinal image is one of the difficult task in medical image processing. Retinal fundus images are normally manually graded by specially trained clinicians in a time consuming and resource intensive process. Fovea is an important part of the retina for human vision. This paper presents a new method that automatically detect the fovea region in retinal fundus image.. The proposed method is based on blood vessel structure obtained using wavelet transform and finally the fovea is localized using the fuzzy c means clustering algorithm. This method has been implemented in MATLAB and tested in the publically available DRIVE database and got comparable results.
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