Diabetic Retinopathy Detection From Retinal Images

Diabetic retinopathy is one of the eye diseases that are seen among the human beings. It is the disease that can cause people to lose their eyes if proper treatment cannot be done at the correct time. There are different techniques through which the diabetic retinopathy can be detected. The retinal images that are taken will be having noise. What if there is an application that can allow the user to detect the diabetic retinopathy through the use of an application? Yes, it is possible through the use of Diabetic retinopathy detection from retinal images application. In order to detect diabetic retinopathy, image segmentation is being used. This will be one of the interesting applications that one can work on and implement in real time world with great ease.

The retinal blood vessels will be difficult to be detected by the people through the manual process. This application can help in avoiding such situations. People can rely on this application with great ease in order to detect the retinal image which will be not got through the normal manual process. MATLAB image processing toolbox is used in order to implement this system. The image that is inputted in the RGB format will be converted to gray scale and then image segmentation will be used by this system. The features that can be included in the Diabetic retinopathy detection from retinal images application are as follows:

  • Reduce human labor: This project can help in reducing the human labor with great ease.
  • Efficient: This project can help in detecting brain tumor efficiently with great ease at various illuminating conditions.
  • Saves time: This application can help in saving the time since the humans need not personally find for the color of objects.
  • Filtering techniques: This application makes use of various filtering techniques.

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