Integration of Real-World Problems into an Image Processing Curriculum
Integration of Real-World Problems into an Image Processing Curriculum
复制标题
将现实世界问题整合到图像处理课程中
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
R. H. Moss
中科院分区：
文献类型：
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作者：
R. Stanley;S. Watkins;R. H. Moss
图像处理课程需要一个实践环境，以促进学生学习理论概念和技术。包括Matlab在内的软件工具使学生能够专注于概念和技术，而不需要特别注意学习使用这些工具。实验室练习和项目通常用于为学生提供成像相关课程的实践经验。基于现实世界问题的练习和项目，使用逼真的图像，进一步提高学生的学习和课堂以外的技能发展。调查结果，以评估学生对现实世界中的问题为基础的练习和项目在密苏里大学罗拉教授的机器视觉课程进行的反应。
An image processing curriculum requires a hands-on environment to facilitate student learning of theoretical concepts and techniques. Software tools including Matlab allow students to focus on concepts and techniques without requiring significant attention to learn to use the tools. Laboratory exercises and projects are commonly used to provide students with a hands-on experience in imaging-related courses. Exercises and projects based on real-world problems which use realistic imagery further enhance student learning and skill development beyond the classroom. Survey results are presented to evaluate student responses to real-world problem-based exercises and projects performed in a Machine Vision course taught at the University of Missouri-Rolla.