چکیده (انگلیسی):

In recent years the medical profession has seen an ever
increasing demand for diagnosis and a permanent cure for illnesses caused
by climatic-changes, unwholesome food and environmental pollution. Also
the appearances of hitherto unknown viral diseases have caused eye
diseases, which have prompted surgeons to monitor the health of the eyes.
Potential new therapies that may help in preserving sight in the growing
population of diabetic patients into the 21st Century. Early detection of
diseases affecting the eyes reduces the risk of permanent damage. Some of
the serious conditions which warrant early diagnosis are: Glaucoma,
floaters, macula degradation and diabetic retinopathy. In the early stages, a
choice of treatment options exist, which dwindles as the disease spreads. A
visual inspection of the optic disc, macula and the blood vessels of the eye
requires to be done routinely. Diabetic patients run the risk of damage to
retinal vessels, which are referred to as diabetic retinopathy. This may
further be classified as: Non-proliferative diabetic retinopathy and
proliferative diabetic retinopathy. In scientific literatures, feature extraction
method has been reported for diagnosis and classification. In this study a
systematic Decide, Detect, Determine and Do approach for analyzing
diabetic retinopathy images has been taken up. The proposed approach
gives a clearer picture of the abnormality, its type (NPDR or PDR), its
status (viz., mild, moderate or severe) and finally the appropriate treatment.