Multimedia animation filtering simulation based on image extraction

Abstract

With the rapid development of computer technology and network technology, a large number of audio, video, text and other multimedia information are pouring in, but only part of the information is of practical value to Internet users. Therefore, in the information explosion society, timely screening and reasonable pushing of a large number of information has become an urgent technical problem. This paper will study and analyse the research point of multimedia animation filtering in Internet environment. Based on the basic principles of image sequential edge detection algorithm and watershed image detection algorithm, and combined with mathematical morphology theory, this paper creatively proposes an improved character class edge detection and filtering algorithm. Based on the image filtering algorithm proposed in this paper, the coordination and optimization of edge detection accuracy and anti-noise ability can be achieved. Finally, simulation experiments are carried out for the above algorithms. The experimental results show that the proposed optimization algorithm has excellent edge detection effect.