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The segmented blood vessel in retinal images is an important indicator in medical treatment. In 2007, Ricci and Perfetti proposed a simple and efficient blood vessel segmentation method based on line operator. However, this scheme makes some false segmentation when it is used to process the pixels which are close to a thick blood vessel. To overcome the above problem, a novel retinal blood vessel segmentation method based on line operator and edge detector, also called (RBVSLE), was proposed. The RBVSLE enhances the contrast of the green-channel of the retinal images. Next, the RBVSLE creates the edge map, which is denoted as vessel growth seed map, by using a canny detector. Finally, the RBVSLE segments vessel pixel by line operator from vessel growth seed map. Experimental results confirm the accuracy rate of RBVSLE is approximately 94% which is significantly better than other methods.