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IJIET 2019 Vol.9(10): 729-734 ISSN: 2010-3689
doi: 10.18178/ijiet.2019.9.10.1294

Teaching Digital Image Processing Topics via Matlab Techniques

Ali Abdullah Yahya

Abstract—Utilizing visual aids in teaching have become extremely important in the modern age of information technology. Most of the conventional teaching techniques of image processing are focused on traditional means; teachers, textbooks and classrooms. These techniques are stood as a stumbling block in front of image technology development. Matlab can be considered as a matrix-oriented computing engine. Since image can be thought as a matrix, therefore, Matlab is the ideal program for image processing. This work proposes to deepen the perception the topics of digital image processing by utilizing Matlab. We believe that teaching the digital image processing with Matlab will lead to moving the enthusiasm of students and helping them to think creatively. Teaching digital image processing topics with Matlab will make these topics easier, that is due to using visual, interactive as well as experimental methods will attract students' attention more than traditional methods, which will lead to building deeper understanding and better memory for digital image processing topics.

Index Terms—Digital image processing, Matlab techniques, conventional teaching techniques.

A. A. Yahya is with the School of Computer and Information, Anqing Normal University, Anqing, China (e-mail: aselwey1@hotmail.com).


Cite: Ali Abdullah Yahya, "Teaching Digital Image Processing Topics via Matlab Techniques," International Journal of Information and Education Technology vol. 9, no. 10, pp. 729-734, 2019.

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Dr. Steve Thatcher
  • Executive Editor: Ms. Nancy Y. Liu
  • Abstracting/ Indexing: Scopus (CiteScore 2022: 2.0), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • E-mail: ijiet@ejournal.net


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