Identification of retinal blood vessels is widely used in the diagnosis of eye diseases such as diabetic retinopathy, and glaucoma. Extraction of retinal blood vessels is done manually by a doctor, it is difficult and time-consuming and also many cases are associated with errors. In this article, a new method for the extraction of retinal blood vessels is presented, which includes three basic parts. First, the noise in the image is removed and then the center lines of the vessel are extracted. Finally, the blood vessels of the retinal images are extracted using the area expansion and noise removal method. The proposed algorithm is applied to the images of the DRIVE test set and the efficiency of the algorithm is measured using four different scales of sensitivity, specificity, accuracy, and precision. The average values of accuracy, specificity, sensitivity, and accuracy of the proposed method are 0.92896, 0.98965, 0.91756, and 0.96578, respectively.
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