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Detection of Exudates in Retinal Images Based on Computational Intelligence Approach

R. SriRanjini, M. Devaki

Abstract


Currently, there is an increasing interest for setting up medical systems that can screen a large number of people for sight threatening diseases, such as diabetic retinopathy. This automated identification of exudates pathologies in retinal images based on computational-intelligence approach are used to find the diabetics. In which the color retinal images are segmented using fuzzy c means clustering algorithm which following some pre processing step and that segmented regions are divided into exudates and non exudates. The selected feature vectors are then classified using a multilayer neural network classifier to determine whether the image is abnormal/normal.

Keywords


Fuzzy C-Means (FCMs), Gabor Filters, Neural Networks, Retinal Exudates, Thresolding.

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References


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