基于问题学习的数字图像均值滤波器教学研究  

Study on Teaching Method of Digital Image Mean Filter Based on Problem Learning

作　　者：傅志中[1] 李晓峰[1] 周宁[1] 徐进[1] 何翔[1] FU Zhizhong;LI Xiaofeng;ZHOU Ning;XU Jin;HE Xiang(School of Information and Communication,University of Electronic Science and Technology of China,Chengdu 611731,China)

机构地区：[1]电子科技大学通信与信息工程学院,成都611731

出　　处：《实验室研究与探索》2020年第4期138-142,共5页Research and Exploration In Laboratory

基　　金：国家自然科学基金项目(61671126)。

摘　　要：图像滤波是数字图像处理课程中的一个重要内容,针对不同的应用环境,涌现了多种优秀的图像滤波算法。基于均值滤波器、高斯滤波器、双边滤波器和非局部均值滤波器设计思想之间的内在联系,设计了多个图像滤波实验案例。并基于问题学习方法,引导学生运用已有知识,分析每个实验存在的问题,从而培养学生从工程应用中发现问题、解决问题的工程素质,实现创新人才的培养。Image filtering is an important part of the digital image processing course.A variety of excellent image filtering algorithms have been proposed for different application environments.Based on the intrinsic relationship between the mean filter,Gaussian filter,bilateral filter and non-local mean filter design ideas,several image filtering experiment cases are designed.Moreover,based on the method of problem learning,the students are guided to use the existing knowledge to analyze the problems existing in each experiment,so as to cultivate students'abilities to discover and solve problems in engineering application,and realize the cultivation of innovative talents.

关 键 词：图像处理 图像滤波 问题学习 教学方法 

分 类 号：TP334[自动化与计算机技术—计算机系统结构]