ABSTRACT
Detection of blood vessel plays an important stage in different medical areas, such as ophthalmology, oncology, neurosurgery and laryngology. The significance of the vessel analysis was helped by the continuous overview in clinical studies of new medical technologies intended for improving the visualization of vessels. Blood vessel detection are commonly used in many field especially medical field. But recognition of blood vessels is a main troublesome in the automatic processing of retinal image In order to make work smoother and help patient in detecting their problems. The detection of blood vessel using retinal really helping to detect some disease such as diabetic and glaucoma. The recognition of blood vessels is a main troublesome in the automatic processing of retinal image. The diagnosis of cardiovascular and ophthalmological illnesses such as diabetic retinopathy and glaucoma is considered to be critical. Diabetic retinopathy is a complication of diabetes which affects the eyes. Manual analyses are conducted periodically by reviewing a patient's photographs, as not all images show signs of diabetic retinopathy. Accurate retinal blood vessel identification is therefore essential.
PROJECT OUTPUT
PROJECT DEMO VIDEO
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