面向电气工程研究生的“数字图像处理”课程改革  

Reform of Digital Image Processing Course for Electrical Engineering Graduate Students

作　　者：郭斯羽[1] 温和[1] 凌志刚[1] 刘敏[1] GUO Si-yu;WEN He;LING Zhi-gang;LIU Min(College of Electrical and Information Engineering,Hunan University,Changsha,Hunan 410082,China)

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《教育教学论坛》2023年第40期180-184,共5页Education And Teaching Forum

基　　金：2020年度湖南省学位与研究生教育改革研究项目“电气信息类研究生人工智能核心知识与能力培养体系与模式探索”(2020JGYB058)。

摘　　要：人工智能技术在电气工程领域的应用日益广泛。图像处理与机器视觉作为人工智能的重要分支,在电气工程专业研究生的知识体系中的重要性在不断提高。针对这一需求,对“数字图像处理”课程进行了改革。根据电气工程专业研究生的培养目标,设计了课程的教学目标,进而根据电气工程领域对图像处理的实际需求调整了教学内容;根据电气工程领域的实际工程应用设计了具有较高复杂度的实践教学内容;改革了课程的考核方式与内容,以有效评估学生在课程中的能力达成情况。改革后的课程教学,有效提高了学生在课程和实践中的参与度,强化了实践效果,使学生在课程结束时基本具备了在电气工程领域复杂工程问题中应用和评价基于图像的解决方案能力。With the growing application of artificial intelligence(AI)technologies in electrical engineering,image processing and machine vision,as an important direction in AI field,is also gaining significance in the knowledge architecture of graduate students majored in Electrical Engineering(EE).Digital Image Processing for EE graduate students is reformed to follow this trend.The course objectives are adjusted according to the professional expectations for EE graduate students.Course contents are re-designed to meet the requirements of EE applications on image processing technologies.Four real-world EE applications are tailored into comprehensive course projects for students to practice the image processing methods.The examination methods are improved to effectively evaluate the academic ability achievement of the students in the course.The reform results in the effective promotion of students’participation in course teaching and the enhancement of the practice performance.At the end of the course,the students have gained the basic abilities to apply and evaluate image-based solutions in EE complex engineering problems.

关 键 词：电气工程 人工智能 图像处理 研究生教学 

分 类 号：G643.2[文化科学—高等教育学]