Research on the design of a virtual simulation experimental platform based on digital image processing

This paper designs and applies a virtual simulation experimental teaching platform based on natural scene image recognition algorithms to enhance students' learning outcomes in the "Digital Image Processing and Applications" course. Through inquiry-based and task-driven teaching methods, the platform implements functions such as data processing, image recognition, and video processing. Evaluation data from 178 students show improvements of 70.25%, 60.90%, 65.46%, 63.85%, and 49.11% in understanding key concepts, independent learning, theory-practice integration, engineering application, and innovation ability, respectively. The results indicate that the virtual simulation experimental teaching platform significantly enhances students' comprehensive abilities, providing effective support for course teaching.