Supervised Blood Vessel Segmentation in Retinal Images Using Feature Based Classification
نویسنده
چکیده
This paper presents a supervised method for blood vessel detection in digital retinal image. The use of digital images for eye disease diagnosis could be used for early detection of Diabetic Retinopathy (DR). This method of blood vessel detection uses feature based pixel classification. Membership value of these feature based image is also used to segment the blood vessel. This method uses the DRIVE database, which has different image conditions.
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