Optimized MFR & automated local entropy thresholding for retinal blood vessel extraction

Retinal blood vessel extraction plays important role in diagnosis of many diseases such as diabetic retinopathy (DR), hypertension, glaucoma and arteriosclerosis. In this paper optimized matched filter response is used to enhance the blood vessel followed by local entropy thresholding used to segment the vessels automatically. First optimized matched filter are applied to the retinal images to enhance vessels then we used their corresponding co-occurrence matrix & automatic to find local entropy thresholding that used for segmented the blood vessel in retinal image. The results shows that automated local entropy thresholding more successful compare to other methods in our proposed matched have 95.86 % average accuracy.