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

Authors: Ting Zhang; Xiang-yu Wei; Feng Qu

Addresses: School of Design and Art, Shanghai Dianji University, Shanghai, 200240, China ' Mechanical College, Shanghai Dianji University, Shanghai, 201306, China ' Shanghai Kuncheng Architectural Design Firm, Shanghai, 200000, China

Abstract: 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%.

Keywords: spatiotemporal domain filtering; multi-frame 2D animated images; edge extraction; Sobel gradient template.

DOI: 10.1504/IJISTA.2025.145613

International Journal of Intelligent Systems Technologies and Applications, 2025 Vol.23 No.1/2, pp.90 - 102

Received: 16 Jul 2024
Accepted: 10 Sep 2024
Published online: 09 Apr 2025 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article