Paper Title :Detection Of Fovea Region In Fundus Retinal Image Using Wavelet Transform And Fuzzy C-Means Clustering

Author :Varalekshmi V.R., P.Janardhanan.

Article Citation :Varalekshmi V.R. ,P.Janardhanan. , (2014 ) " Detection Of Fovea Region In Fundus Retinal Image Using Wavelet Transform And Fuzzy C-Means Clustering " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 13-16, Volume-2,Issue-4

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.

Type : Research paper

Published : Volume-2,Issue-4

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