• DocumentCode
    301203
  • Title

    Coursework in image computation for undergraduates

  • Author

    Stockman, George ; Weng, John

  • Author_Institution
    Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
  • Volume
    2
  • fYear
    1995
  • fDate
    23-26 Oct 1995
  • Firstpage
    315
  • Abstract
    Motivation is given for undergraduate courses involving computing with images. Such courses should overlap with, but be significantly different from, existing courses in image processing or computer vision. Images have recently become much more important as a fundamental data type, primarily because multimedia computer power has become pervasive. Future computer scientists should know how to model and manipulate images. Image computation introduces students to highly motivating applications. Moreover, the intuitive human capability for image understanding is useful for reinforcing important mathematical concepts and application projects provide significant opportunities for capstone work which integrates wide areas of undergraduate computer science
  • Keywords
    computer science education; educational courses; image processing; application projects; computer vision; computing; coursework; image computation; image manipulation; image modelling; image processing; multimedia computer power; undergraduates; Application software; Computer science; Computer vision; Home computing; Humans; Image edge detection; Image processing; Image sequence analysis; Image sequences; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1995. Proceedings., International Conference on
  • Conference_Location
    Washington, DC
  • Print_ISBN
    0-8186-7310-9
  • Type

    conf

  • DOI
    10.1109/ICIP.1995.537478
  • Filename
    537478