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RETRACTED ARTICLE: Simulation experiment of Internet online art design teaching based on computer image segmentation
Yi Zhang1, Jun Liu2, Xiaoli Wu1
1School of Design, Hainan Vocational University of Science and Technology, Haikou, 571126 Hainan China.
Soft Computing
|June 26, 2023
Summary
This study introduces an online art teaching system using computer image segmentation to address digitization challenges in Chinese art education. The developed system demonstrates superior performance and accuracy, offering an effective digital solution for art design courses.
Area of Science:
- Art Education Technology
- Computer Vision in Education
- Digital Art Pedagogy
Background:
- The cultural industry's growth fuels demand for spiritual enrichment, driving art and design education transformation.
- Chinese art education faces challenges with non-digitized courses, outdated materials, and high costs.
- Online education in China is rapidly evolving, particularly in vocational and basic education sectors.
Purpose of the Study:
- To design an effective online art teaching system for art design courses.
- To address the limitations of traditional art education methods through digitization.
- To leverage computer image segmentation technology for enhanced art education delivery.
Main Methods:
- Development of an online art teaching system incorporating computer image segmentation.
- Implementation of core algorithms superior to existing methods like FCM, FCM_S1, and FCM_S2.
- System design includes modules for learning guidance, course guidance, and teaching resources.
Main Results:
- The core algorithm exhibits excellent performance in division entropy, coefficient, and accuracy.
- Simulation experiments confirm the system's robustness, supporting numerous concurrent users.
- The online system effectively meets the demands of simultaneous intranet access and external network users (500 concurrent users).
Conclusions:
- The designed online art teaching system, utilizing computer image segmentation, is effective and performs well.
- The system offers a viable digital solution to modernize art design education in China.
- This approach enhances accessibility and efficiency in art education delivery.
