Summary
The retinopathy diseases occur when the neurons do not transmit signals from retina to the brain. These disorders are: Diabetic retinopathy, hypertensive retinopathy, macular degeneration, vein branch occlusion, vitreous hemorrhage, and normal retina. This work presents a novel detection algorithm about retinopathy disorders from retina images. For this purpose, the retina images were pre-processed and resized at first. Then the discrete cosine transform was used as feature extraction before applying a neural network classifier. The performance of recognition rates of the novel detection algorithm were found as 50%, 70%, 85%, 90%, and 95% for testing five retinopathy cases respectively.
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Extract
Detection of Retinopathy Diseases Using an Artificial Neural Network Based On the Discrete Cosine Transform
1. Introduction
The retina is light-sensitive tissue at the back of the eye. A healthy retina is necessary for good vision. Electrophysiological tests reveal an abnormal function of the visual system in patients with diabetic retinopathy. It is a common cause of visual loss in the world, and it is a potentially blinding complication of diabetes that damages the eye retina. The growth of new blood v...See the full content of this document
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