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Image Processing and Math Courses

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Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Embedded Systems and Mobile Computing

Tagged Division

Computing & Information Technology

Page Count

10

Page Numbers

23.680.1 - 23.680.10

Permanent URL

https://peer.asee.org/19694

Download Count

25

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Paper Authors

biography

Alireza Kavianpour DeVry University, Pomona

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Dr. Alireza Kavianpour received his Ph.D. Degree from University of Southern California (USC). He is
currently Senior Professor at DeVry University, Pomona, CA. Dr. Kavianpour is the author and co-author
of over forty technical papers all published in IEEE Journals or referred conferences. Before joining
DeVry University he was a researcher at the University of California, Irvine and consultant at Qualcom
Inc. His main interests are in the areas of embedded systems and computer architecture.

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biography

Behdad Kavianpour University of California, Irvine

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Engineering Researcher at University of California, Irvine.

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Abstract

AbstractWhat math topics should students learn in order to understand theimage processing course? This is perhaps the most commonquestion. The answer depends on the level of the course. If theobjective is to take an introductory course in image processing,then they should have knowledge of algebra, trigonometry andlinear algebra. High school level algebra and trigonometry areprobably the most important areas to know in order to beginlearning about image processing. The subject of linear algebra isused throughout image processing. Any area that is involved innumerical representations of an image is represented by vectors.Vectors and matrices are used commonly in an image processingcourse. Knowledge of calculus is also an important part ofadvanced computer imaging.The detection of lines and curves in an image is a fundamentalproblem in image processing. The problem is often solved by usingthe polar coordinate system. In the simplest case, the picture contains anumber of discrete black points lying on a white background. Theproblem is to detect the presence of groups of collinear figurepoints.In this paper, the use of basic math such as the polar coordinatesystem, for line detection in an image will be considered.

Kavianpour, A., & Kavianpour, B. (2013, June), Image Processing and Math Courses Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19694

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