Utilizing Intelligent Vector Image Technology to Graphically Display Network Monitoring

Authors

  • Yao Zhang School of Intelligence and Electronic Engineering, Dalian Neusoft University of Information, Dalian 116023, Liaoning, China

Abstract

Traditional network monitoring graphic display methods have the problems of poor display effect, difficulty in manual identification and tracking of targets, and poor real-time performance. In this study, a network monitoring graphic display system was designed based on intelligent vector image technology to solve the problems in traditional image display methods. An adaptive histogram equalization algorithm was used to denoise and sharpen an image, and remove image distortion to improve the graphic display effect. Then, the Faster R-CNN target detection model based on convolutional neural network was used to achieve automatic target detection and tracking. The real-time image was processed through an image processing pipeline, and finally the target object in the monitoring image was converted into a vector graphic using intelligent vector image technology.
Through experiments, the network monitoring graphics display system designed in this study was compared with traditional monitoring systems and raster image display systems in terms of performance, stability, image compression rate, and user experience. In terms of performance testing, the proposed system outperformed traditional monitoring systems in terms of image quality, rendering efficiency, real-time performance, loading speed, and display delay. In regard to stability, the proposed system performed the best in terms of data integrity, reaching 96.7%, which was significantly higher than the other two types of systems, with a failure rate of only 4.3%. Regarding system image compression rate, the average compression coefficient of the proposed system was 89.7%, which was higher than 56% of traditional monitoring systems and 72.7% of raster image display
systems. In terms of user satisfaction scores, the proposed system performed best. The experimental results showed that intelligent vector image technology can significantly improve the effectiveness and performance of network monitoring graphics display, offering new ideas and methods for the improvement of network monitoring systems and has broad application prospects.

Keywords: Intelligent Vector Image Technology; Network Monitoring; Graphic Display; Feature extraction; Image Quality

Cite As

Y. Zhang, "Utilizing Intelligent Vector Image Technology to Graphically Display Network Monitoring",
Engineering Intelligent Systems, vol. 34 no. 3, pp. 423-435, 2026.


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Published

2026-05-01

Issue

Vol. 34 No. 3 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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