图像匹配在机器视觉课程教学中的探索与实践  

Exploration and practice of image matching in machine vision teaching

作　　者：高直 朱志浩 Gao Zhi;Zhu Zhihao(College of Information Engineering,Yancheng Institute of Technology,Yancheng,Jiangsu 224051,China;School of Electrical Engineering,Yancheng Institute of Technology)

机构地区：[1]盐城工学院信息工程学院,江苏盐城224051 [2]盐城工学院电气工程学院

出　　处：《计算机时代》2023年第7期133-135,139,共4页Computer Era

基　　金：教育部产学合作协同育人项目(22097110113736);国家自然科学基金项目(61973167);江苏省产学研合作项目(BY2021452,BY2022495);盐城工学院校级科研项目(xjr2020041)。

摘　　要：针对机器视觉课程提出以图像匹配为例的理论与实践相结合的教学方法。图像匹配作为机器视觉的关键基础技术,通过算法在待检测图像中寻找目标图像。其在图像分析、目标识别、目标跟踪、图像拼接等众多领域起着十分重要的作用。从对图像匹配技术的理论教学与实践逐渐延伸到机器视觉后续课程中,能够增强本课程的整体教学效果。For machine vision course,a teaching method combining theory and practice is proposed with image matching as an example.Image matching,as a key fundamental technology of machine vision,finds the target image in the image to be detected by an algorithm.It plays a very important role in many fields such as image analysis,target recognition,target tracking,and image stitching.Gradually extending from the theoretical teaching and practice of image matching technology to the subsequent courses of machine vision,it can enhance the overall teaching results of this course.

关 键 词：机器视觉课程 教学方法 图像匹配 教学效果 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] G643[自动化与计算机技术—计算机科学与技术]