Application of digital image processing technology in online education under COVID-19 epidemic
Baoxian Jia, Wunong Zhang · Journal of Intelligent & Fuzzy Systems · 2021
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.