Diabetic Retinopathy Detection From Retinal Images

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Diabetic retinopathy causes blindness. Diabetic retinopathy is one of the eye disease which is caused due to retinal blood vessel extraction. Diabetic retinopathy affects blood vessels in the light-sensitive tissue called the retina that lines the back of the eye. It is the most common cause of vision loss among people with diabetes and the leading cause of vision impairment and blindness among working-age adults. Here we proposed a system where we extract retinal blood vessels for detecting eye diseases. Manually extracting the retinal blood vessels is a long task there are many automated methods are available which makes work easier. Here proposed an algorithm to extract blood vessels from images. We used filtering methods to remove noise and environmental interference from image. Local entropy thresholding and alternative sequential filter methodology has been adopted in this system. We had implemented this system in matlab. User will input retina image into system. System will apply filtering techniques. Image pre-processing steps are applied to get accurate result. System will remove all unwanted objects from image. System will apply algorithm to extract retinal blood vessels. Finally system will detect diabetic retinopathy.

  • User Friendly
  • Helps to detect diabetic retinopathy
  • System works on good quality images