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Aiming at the problem that the traditional Canny edge detection algorithm has poor denoising effect on noisy images and the double threshold needs to be set in advance, a noise image edge detection based on improved Canny algorithm is proposed. Firstly, an adaptive Gaussian filter is constructed to improve the curvature operator to obtain an optimized binary edge map; Then, the gray gradient mapping function is constructed based on the variance between the largest classes, and the optimal double threshold is determined. Finally, double threshold detection and edge connection are performed on the binary edge graph. The experimental results show that compared with Canny algorithm, the improved algorithm improves the performance of noise image edge detection in the environment of different types of noise and different concentrations of noise. The average PSNR value is increased by 1.9%, and the average MSE value is reduced by 1.6%, and the improved algorithm has the advantages of strong adaptability and high operating efficiency.