Date of Publication :7th May 2016
Abstract: Fund us pictures of the human eye are used by Ophthalmologist to analyze and screen the diseases like glaucoma or diabetic retinopathy. To evaluate Fund us images captured from camera before sending to the doctor for analysis and patient diagnosis is very important. The Fund us images are checked for basic quality parameters like availability of Optic Disk, Blood Vessels, and Optic Cup as high priority and Brightness Contrast, Illuminations and Signal to Noise Ratio etc. as a second level check. Qualified Fund us images are trained using Support vector machine for good and bad quality by methods of Clustering, Heraldic features and Sharpness. Subject image is compared with Trained data for Good and Bad quality.
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