An implementation focused approach to teaching image processing and machine vision-from theory to beagleboard

Gordon Morison, Mark David Jenkins, Thomas Buggy, Peter Barrie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish
Title of host publicationEducation and Research Conference (EDERC), 2014 6th European Embedded Design in
PublisherIEEE
Pages274-277
Number of pages4
ISBN (Print)9781479968411
DOIs
Publication statusPublished - 11 Sep 2014

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Keywords

  • image processing
  • machine vision
  • beagleboard

Cite this

Morison, G., Jenkins, M. D., Buggy, T., & Barrie, P. (2014). An implementation focused approach to teaching image processing and machine vision-from theory to beagleboard. In Education and Research Conference (EDERC), 2014 6th European Embedded Design in (pp. 274-277). IEEE. https://doi.org/10.1109/EDERC.2014.6924403