基于项目制教学的数字图像处理课程改革与实践——以“机器视觉检测项目”为例

Reform and Practice of Digital Image Processing Course Based on Project-Based Teaching—A Case Study of the “Machine Vision Inspection Project”

摘要: 针对数字图像处理课程存在理论教学与工程实践脱节、学生工程应用能力培养不足等问题，结合新工科建设和工程教育认证要求，提出一种基于项目制教学的数字图像处理课程改革方案。以“基于机器视觉的工业零件缺陷检测系统”为项目载体，构建项目驱动、模块支撑、实践强化、多元评价的课程教学体系。通过重构课程内容、优化教学模式、建设实践教学平台和完善课程评价机制，实现课程知识与工程实践的深度融合。该改革方案有助于提升学生工程实践能力、创新能力和团队协作能力，为数字图像处理及相关课程教学改革提供参考。

Abstract: To address the problems of disconnection between theoretical teaching and engineering practice, as well as insufficient cultivation of students’ engineering application abilities in the Digital Image Processing course, and in alignment with the requirements of emerging engineering education (New Engineering) and engineering education accreditation, this paper proposes a reform scheme for the Digital Image Processing course based on project-based teaching. Taking the “Industrial Parts Defect Detection System Based on Machine Vision” as the project carrier, the scheme constructs a course teaching system driven by projects, supported by modules, strengthened by practice, and evaluated through multiple dimensions. By restructuring course content, optimizing teaching models, building practical teaching platforms, and improving course evaluation mechanisms, the reform achieves deep integration of course knowledge and engineering practice. This reform scheme helps enhance students’ engineering practice abilities, innovation capabilities, and teamwork skills, and provides a reference for the teaching reform of Digital Image Processing and related courses.