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首页> 外文会议>Proceedings of the 6th European Embedded Design in Education and Research Conference >An implementation focused approach to teaching image processing and machine vision - from theory to beagleboard
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An implementation focused approach to teaching image processing and machine vision - from theory to beagleboard

机译：以实现为中心的教学方法，用于图像处理和机器视觉的教学-从理论到公告板

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摘要

The explosion of multimedia applications within embedded devices has ensured that Image Processing and Machine Vision has now become a mainstream subject within most Computer Science and Electronic Engineering curricula. Yet often there exists a disconnection between the rapid prototyping tools that are taught within the laboratory to demonstrate concepts and those that are used for actual deployment in a stand-alone product. This calls for an approach whereby students are exposed to multiple levels of abstraction, in order to align the skill sets of our students with the requirements and expectations of industry. This paper describes the development of a senior level undergraduate course that introduces machine vision and image processing algorithms and implementation topics within the larger context of embedded computing. The key focus is that the student appreciates the theoretical concepts but is also capable of implementing them on embedded processors for prototyping or production.
机译：嵌入式设备中多媒体应用的爆炸式增长确保了图像处理和机器视觉现在已成为大多数计算机科学和电子工程课程中的主流主题。然而，实验室中教授的用于演示概念的快速原型制作工具与用于独立产品中实际部署的工具之间常常存在脱节。这就要求一种方法，使学生处于多个抽象层次，以便使我们的学生的技能与行业的要求和期望保持一致。本文介绍了高级本科课程的开发情况，该课程介绍了嵌入式计算的更大范围内的机器视觉和图像处理算法以及实现主题。重点是学生欣赏理论概念，但也能够在嵌入式处理器上实施它们以进行原型设计或生产。

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