Article
Computer Vision Communication Technology in Mathematical Modeling
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Abstract
We use mathematical modeling methods to incorporate new elements into the computer graphics technology and visual communication design process. This method realizes the design of a computer image visual communication system. This method uses artificial vision to model and extracts local features. The micro-partial equation obtains the background reference line of the target point in the image sequence to complete the background suppression in the image spatio-temporal domain. The experimental results show that the proposed algorithm has a better tracking effect of subsequent frames of video images and higher tracking efficiency.
Keywords
Computer, visual communication, mathematical modeling, feature extraction, 60G35
Citation
Xue, X., Wu, X., & Shorman, S. (2022). Computer vision communication technology in mathematical modeling. Applied Mathematics and Nonlinear Sciences, 7(2), 621–628. https://doi.org/10.2478/amns.2022.2.0047
X. Xue, X. Wu and S. Shorman, “Computer vision communication technology in mathematical modeling,” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, pp. 621–628, 2022, doi: 10.2478/amns.2022.2.0047.
Xue X, Wu X, Shorman S. Computer vision communication technology in mathematical modeling. Applied Mathematics and Nonlinear Sciences. 2022;7(2):621–628. doi:10.2478/amns.2022.2.0047.
Xue, X., Wu, X. and Shorman, S. (2022), ‘Computer vision communication technology in mathematical modeling’, Applied Mathematics and Nonlinear Sciences, 7(2), pp. 621–628. Available at: https://doi.org/10.2478/amns.2022.2.0047.
Xue, Xiaobo, et al. “Computer Vision Communication Technology in Mathematical Modeling.” Applied Mathematics and Nonlinear Sciences, vol. 7, no. 2, 2022, pp. 621–628. https://doi.org/10.2478/amns.2022.2.0047.
Xue, Xiaobo, Xiaoyan Wu, and Samer Shorman. “Computer Vision Communication Technology in Mathematical Modeling.” Applied Mathematics and Nonlinear Sciences 7, no. 2 (2022): 621–628. https://doi.org/10.2478/amns.2022.2.0047.
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Published by: Engineering Journals


