新工科背景下《图像处理与机器视觉》实验教学体系的探索

Exploration of〈Image Processing and Computer Vision〉Experimental Teaching System under the Background of New Engineering Education

针对现阶段普通高校工科专业在数字《图像处理与机器视觉》实验教学中实践教学和培养学生创新意识、能力的力度不足的问题。提出以新工科为背景的大学生创新教学、科研和实践相融合的组织模式,重点探讨《图像处理与机器视觉》实验课程的体系建设。从分层式实验教学体系、探究型实验平台搭建、任务驱动型科研创新、开放性实验项目和多元考核评价等方面,提出面向创新能力培养的数字图像处理和机器视觉课程实验教学体系。通过这些方法提高学生的创新与实践能力,实现教学、科研和实践的一体化,培养未来多元化、创新型的卓越工程人才。

In response to the insufficient emphasis on practical teaching and fostering students'innovative consciousness and abilities in the field of digital〈Image Processing and Computer Vision〉in ordinary universities'engineering programs,this paper proposes an organizational mode that integrates innovative teaching,research,and practice for undergraduate students under the background of new engineering education.The focus is on the construction of an experimental teaching system for the course〈Image Processing and Computer Vision〉.This paper presents a framework for experimental teaching in image processing and computer vision that is geared towards the cultivating innovative capabilities.The framework includes a hierarchical experimental teaching system,an inquiry-based experimental platform,task-driven research innovation,open-ended experimental projects,and diverse assessment and evaluation methods.These approaches aim to enhance the students'innovation and practical abilities,achieve integration of teaching,research,and practice,as well as the cultivate future diversified and innovative engineering talents.