To reinforce the noise resistance capability of image edge detection algorithm better and refine edge information detection, a multi-scale morphology algorithm for image edge detection with noise resistance is proposed. Moreover, wavelet transform method is utilized to replace the commonly used weighted mean method and the edge images are obtained by each scale fused. The low frequency and high frequency coefficients of the wavelet decomposition are adopted respectively by different fusion strategies. Thus the edge details are effectively preserved. The fused image is clear and has rich details. Anti-noise detection algorithm is used to detect the edge of image using different scales of structuring elements. Hence, the algorithm becomes robust to the noise. The simulation result shows that the proposed algorithm can effectively reduce the influence of noise on detection results obtaining the ideal edge image.