In this paper, it is proposed to detect the exudates in the retinal image and to classify the severity stages caused by the exudates and non-exudates using Adaptive Neuro Fuzzy Inference System (ANFIS). The retinal image used for this project work is subjected to the preprocessing steps such as green channel extraction, median filter, histogram equalization and contrast enhancement. Then the image is subjected to morphological operation for dilation and erosion. Optic disk is eliminated by connected component technique and statistical features like exudates area, size, color, energy, skewness, kurtosis, entropy, homogeneity and texture properties are extracted. The features are now classified to identify the normal eye and affected eye. The classification is accomplished using ANFIS.

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Retina Exudates Diabetic Retinopathy Adaptive Neuro Fuzzy Inference System Classification