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Blood vessel appearance is an important indicator for many diagnoses, including diabetes, hypertension, and arteriosclerosis. Blood Vessel edge detection in retinal images is very important in medical image processing. A lot of algorithms have been suggested for extracting medical image edges, and however, obtaining continuous edges with less over-detection points is difficult for edge extraction. In this paper, we propose a novel approach for blood vessel edge detection by integrating wavelet with fractal. First, accurate edges are extracted by employing wavelet technique. Then, continuous edges are obtained based on fractal technique. Finally, the experiments aptly show that our algorithm can obtain better edge continuity comparing with canny operator.