This paper presents an automated blood vessel detection method the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate.

-This paper presents an automated blood vessel detection method　the fundus image. The method first performs some basic image preprocessing tasks on the gray-scale of the retinal image. The blood vessels are highlighted using by using contrast enhancement and average filter. The performance of the proposed method is tested by applying it on retinal images　Digital Retinal Images for Vessel Extraction (DRIVE)database. Accuracy of the proposed method is found to be higher than the other methods which imply that the proposed method is more efficient and accurate.