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
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