An Interdisciplinary Undergraduate Course in Image Processing

图像处理跨学科本科课程

• 批准号: 8952218
• 负责人: Michael Magee
• 金额: $ 6.56万
• 依托单位: University of Wyoming
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-01-15 至 1992-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8952218&HistoricalAwards=false
• 关键词: Interdisciplinary; Undergraduate; Course; Image; Processing

An interdisciplinary undergraduate course in image processing is the thrust of this project. It is intended that this course primarily serve majors in both Computer Science and Electrical Engineering, although other departments such as Astronomy, Geology and Pharmacy have expressed strong interest in such a course for their majors as well. The course itself will focus on the fundamental data operations of computer vision such as image formation two-dimensional feature detection, representation and basic pattern recognition algorithms. The proposed project will facilitate the implementation of an undergraduate computer vision laboratory in which students will be able to digitize and display images which they have processed according to the specifications of required assignments. Each student enrolled in the course will also be required to perform an independent image processing project which extends the knowledge developed during the course.

图像处理的跨学科本科课程是该项目的主旨。 该课程主要服务于计算机科学和电气工程专业，尽管天文学、地质学和药学等其他院系也对本专业的此类课程表示了浓厚的兴趣。 课程本身将重点关注计算机视觉的基本数据操作，例如图像形成、二维特征检测、表示和基本模式识别算法。 拟议的项目将促进本科生计算机视觉实验室的实施，学生将能够在其中根据所需作业的规格对他们处理过的图像进行数字化和显示。 参加该课程的每个学生还需要执行一个独立的图像处理项目，以扩展在课程期间开发的知识。