Edge extraction method for multi-frame 2D animated images based on spatiotemporal filtering

In order to reduce the edge localisation error of animated images and improve the accuracy of edge extraction, a multi-frame 2D animated image edge extraction method based on spatiotemporal filtering is proposed. Firstly, the spatiotemporal filtering algorithm is used to divide the regions to be enhanced in multiple 2D animated images into basic layers and detail layers, thereby enhancing the animated images. Secondly, the Canny operator and an extended Sobel gradient template are used for gradient calculation. Finally, by improving the adaptive threshold segmentation method and combining histogram analysis with the strategy of maximising inter-class variance, the edge extraction process of multi-frame 2D animated images is optimised to improve the accuracy and robustness of edge detection. The experimental results show that the signal-to-noise ratio of the method proposed in this paper remains above 35 dB, and the edge extraction accuracy reaches 99%.