Early Proliferation Stage of Detecting Diabetic Retinopathy Using Bayesian Classifier Based Level Set Segmentation
Journal Title: INTERNATIONAL JOURNAL OF COMPUTER TRENDS & TECHNOLOGY - Year 2014, Vol 7, Issue 1
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.
Authors and Affiliations
S. Vijayalakshmi , P. Sivaprakasam
Keywords
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