Abstract
Diabetic Retinopathy (DR) is a disease that creates some changes in the retinal blood vessels. Blood vessels leaks fats or lipids in the yellowish color which is a cause of blindness and the aggregate yellowish color fat or lipid on the eye is known as exudates. In order to help the ophthalmologists for accurate detection of exudates hybrid CS-ACO is applied on the online dataset HEI-MED consists 169 images. Hybrid approach works in three steps first hybrid CS-ACO is performed to enhance the image second DWT is used to reduce the time elapsed in image enhancement and finally ACO is used for the detection of exudates. The performance of CS-ACO is better than ACO in the detection of exudates. The proposed model has attained mean values of 99.6%, 98.7% and 98.6% for sensitivity, specificity and accuracy respectively on online database.
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