Glaucoma Detection Using Support Vector Machine Algorithm

Glaucoma is the disease that is related to the eye. It can also cause permanent blindness. Glaucoma is the disease that is caused due to the decay of the retinal cells. What if there is an application that can help detecting glaucoma that is present in the person? Yes, it is possible through the use of glaucoma detection using support vector machine algorithm application. There are different techniques through which the glaucoma can be detected. The retinal images that are taken will be having noise. In order to detect glaucoma, 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.

This application can help in avoiding situations where the people can lose their eyes. 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. This application is implemented using support vector machine algorithm. Human labor can also be reduced trough the use of this application with great ease. This application can be considered as an efficient algorithm. 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 glaucoma detection using support vector machine algorithm 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 glaucoma efficiently with great ease at various illuminating conditions with great ease and without any difficulty.
  • Saves time: This application can help in saving the time since the humans need not go to the doctors.
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