• DocumentCode
    2825571
  • Title

    Teaching Digital Image Processing in an Application-Oriented College

  • Author

    Zou, Kun ; Li, Yueqiao

  • Author_Institution
    Dept. of Comput. Eng., Univ. of Electron. Sci. & Technol. of China, Zhongshan, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With its broad application areas of exceptional social and economic value, digital image processing has gained wide popularity as an undergraduate course for students majoring in Computer Science and Technology. Also, it has stepped into many application-oriented colleges, which differ from common universities in teaching goals and characteristics of students. This paper presents some new teaching methods of Digital Image Processing in an application-oriented college. In classroom presentation, more vivid illustrations and less formula derivations are given. While in laboratory exercises, students are instructed to develop some basic image processing functions commonly used in daily digital lives. This acts as a main clue for the whole course: with the progress of classroom teaching, various image processing features are gradually added to the softwares developed by students themselves. Following these methods, students are stimulated and remarkable teaching results are achieved.
  • Keywords
    computer science education; educational courses; educational institutions; image processing; teaching; Computer Science and Technology; application-oriented college; digital image processing; teaching methods; undergraduate course; Application software; Computer displays; Computer science; Digital images; Education; Educational institutions; Filtering; Image processing; Laboratories; Space technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363832
  • Filename
    5363832