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
Link To Document :
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