Multiscale analysis of diagnostic features from color fundus images

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This thesis work is an investigation of multiscale analysis of diagnostic features of the color fundus images Analysis of diagnostic features is done in the multiscale domain by wavelet transform There are three major contributions First the different wavelet subbands are investigated for the presence of retinal features such as exudates and microaneurysms Secondly the pathological features are extracted Blood vessels are extracted by using Kirsch and Gaussian matched filter MF based me

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