Application of digital image processing technology in online education under COVID-19 epidemic

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-01-01 DOI:10.3233/JIFS-219045

Baoxian Jia, Wunong Zhang

引用次数: 7

Abstract

In the current epidemic situation, appropriate learning resources are the prerequisite and basis for effective online education. Current online education, teacher teaching, and student learning lack a sense of immersion and participation. The reason is that the technology of online education is lagging. The thesis introduces augmented reality technology to enhance the immersion and interactivity of online education; introduces the technology based on Hadhoop to store image resources and improve the speed of reading image resources; the use of random forest algorithm for image recognition digital information Mining to recommend the most suitable online resources. Image processing technology can develop appropriate interactions and functions according to different scenarios to enhance the immersion and participation of online teaching, comprehensively improve the quality of teaching and learning, and provide technical support for the improvement of online learning.

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新冠肺炎疫情下数字图像处理技术在在线教育中的应用

在当前疫情形势下，合适的学习资源是开展有效在线教育的前提和基础。目前的在线教育、教师教学和学生学习缺乏沉浸感和参与感。原因是在线教育的技术落后。本文引入增强现实技术，增强在线教育的沉浸感和互动性;介绍了基于hadoop的图像资源存储技术，提高了图像资源的读取速度;利用随机森林算法对图像识别进行数字信息挖掘，推荐最适合的在线资源。图像处理技术可以根据不同场景开发相应的交互和功能，增强在线教学的沉浸感和参与性，全面提升教与学的质量，为在线学习的提升提供技术支持。7

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.