%0 Journal Article
%T 基于人工智能背景下应用型本科院校的“数字图像处理”课程教学改革
Teaching Reform of “Digital Image Processing” in Applied Undergraduate Colleges and Universities Based on Artificial Intelligence Background
%A 张垚鑫
%A 张旻
%J Advances in Education
%P 1149-1154
%@ 2160-7303
%D 2024
%I Hans Publishing
%R 10.12677/ae.2024.14122394
%X 随着人工智能技术的飞速发展，数字图像处理作为其关键领域之一，已广泛应用于医学影像、智慧城市、智能制造等多个领域。在应用型本科院校中，“数字图像处理”课程作为计算机科学与技术、电子信息工程等专业的重要课程，其教学改革显得尤为迫切。本文以江苏理工学院为例，旨在探讨人工智能背景下传统“数字图像处理”课程中存在的问题，并提出相应的教学改革，以期提高学生的学习兴趣、动手能力和创新能力，培养出适应行业需求的高素质专业人才。
With the rapid development of artificial intelligence technology, digital image processing, as one of its key areas, has been widely used in medical imaging, smart city, intelligent manufacturing and other fields. In applied undergraduate colleges and universities, the teaching reform of “digital image processing” course is particularly urgent as an important course in computer science and technology, electronic information engineering and other majors. Taking Jiangsu University of Technology as an example, this paper aims to discuss the problems existing in the traditional “digital image processing” course under the background of artificial intelligence, and put forward corresponding teaching reforms, in order to improve the students’ interest in learning, hands-on ability and innovation, and cultivate high-quality professionals to meet the needs of the industry.
%K 数字图像处理，
%K 人工智能，
%K Python，
%K 教学改革
Digital Image Processing
%K Artificial Intelligence
%K Python
%K Teaching Reforms
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=103551