Early Proliferation Stage of Detecting Diabetic Retinopathy Using Bayesian Classifier Based Level Set Segmentation

International Journal of ComputerTrends and Technology (IJCTT)          
© 2014 by IJCTT Journal
Volume-7 Number-1                          
Year of Publication : 2014
Authors : S.Vijayalakshmi , P.Sivaprakasam.
DOI :  10.14445/22312803/IJCTT-V7P1104


S.Vijayalakshmi , P.Sivaprakasam. Article: Early Proliferation Stage of Detecting Diabetic Retinopathy Using Bayesian Classifier Based Level Set Segmentation. International Journal of Computer Trends and Technology (IJCTT) 7(1):21-25, January 2014. Published by Seventh Sense Research Group.

Abstract -
This article presents Bayesian Classifier which controls the levels set segmentation and it detect the retinal clots at an early stage from the image captured from fundus camera. The classifier is a probabilistic and used for the control of level set contour propagation for the detection of class clot defined, extracting the retinal vessels even with minute deformation due to the clots. The algorithm is tested in MATLAB on fundus images taken at various stages of progression and results which proves the effectiveness of the proposed method.

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Keywords Bayesian Classifier, Blood Clots, Contour Propagation, Diabetic Retina, Level set segmentation.