چکیده (انگلیسی):

In this study, it is proposed fast texture segmentation of detection of proliferative diabetic retinopathy.
proliferative diabetic retinopathy is characterized by the revascularization on the optic disc or on the retinal
area or both, as a result of diabetes mellitus. It may leads to the blindness if it is not detected and treated in
proper time. This study proposes a novel method to detect the vessel growth on the optic disc using texture
segmentation. The vessels that grow on the optic disc as a result of proliferative diabetic retinopathy will be
more convoluted than the normal vessel. The segmentation of the optic disc is made using the texture
descriptors. Next, the segmentation of blood vessel is made by Ridge strength and Watershed
Transformation. Fifteen features which represent the shape, gradient of the vessel are calculated. The
calculated features are separated using a hyperplane to classify it as normal or abnormal by support vector
machine classifier. We have observed a sensitivity and specificity of 88.89 and 91.3%.