Applied Mathematics and Nonlinear Sciences
Journal license

Journal

Applied Mathematics and Nonlinear Sciences


Volume
& Issue

Volume 7, Issue 2


Published
on

July 15, 2022


Pages

621-628


DOI

Article

Computer Vision Communication Technology in Mathematical Modeling


Authors

Xiaobo Xue Affiliation:
Shanghai Institute of Visual Arts (SIVA), Shanghai, 201620, China
, Xiaoyan Wu Affiliation:
Taiyuan University, Shanxi Taiyuan, 237016, China
and Samer Shorman Affiliation:
College of Arts & Science, Applied Science University, Bahrain


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

Published by: Engineering Journals

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