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The development of CAI systems for an efficient education of image processing  

이정헌 (경희대학교 컴퓨터공학과)
안용학 (동양공업전문대학 모바일인터넷과)
채옥삼 (경희대학교 컴퓨터공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.41, no.6, 2004 , pp. 127-135 More about this Journal
Abstract
With the wide-spread use of multimedia technology, the demand for the image processing engineer is increasing in various fields. But there are few engineers who can develop practical applications in the image processing area. To teach practical image processing techniques, we need an integrated education environment which can efficiently present the image processing theory and, at the same time, provide interactive experiments for the theory presented. In this paper, we propose an integrated education environment for the image processing, which is called MTES. It consists of the theory presentation systems and the experiment systems. The theory presentation systems support multimedia data, web document and Microsoft Powerpoint$^{TM}$ file. It is tightly integrated with the experiment systems which are developed based on the integrated image processing algorithm development system, called Hello-Vision.n.
Keywords
Integrated Education Environment; Image Processing Education System; Image Processing Teaching Tool; CAI(Computer Aided Instruction) System; Visual Programming Environment;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 Wit, http://www.logicalvision.com
2 JeongHun Lee,Oksam Chae, Multimedia data processing algorithm development environment (MADE), Visual Data Exploration and Analysis VI, Proc. Of SPIE, pp 193-203, 1999
3 Ad-Oculos, http://www.theimagingsource.com
4 Neat Vision, http://www.neatvision.com
5 Andrew M. Goodman, et al, Knowledge-based Computer Vision: Integrated Programming Language and Data Management System Design, IEEE Computer 10, pp.43-54, 1980   DOI   ScienceOn
6 이정헌, 채옥삼, 컴퓨터비전과 영상처리 알고리즘의 유지관리와 재사용을 위한 통합개발환경, 정보과학회 논문지(B), 24권 3호, 1997
7 Virginia L. Stonick, Image Processing as An Instructional Tool in Introductory Signals and Systems, NSF MIP-9157221 and USE-9250595
8 Biancardi, A. Pini. M., A Code Based Approach to Image Processing Teaching, ICIAP-95, pp.145-150, 1995
9 Hideyuki Tamura, et al, Design and Implementation of SPIDER - A Transportable Image Processing Software Package, Computer Vision, Graphics and Image Processing Proc., Vol.23, No.3, pp.273-294, 1982   DOI
10 Jim Piper, Denis Rutovits, Data Structures for Image Processing in A C Language and Unix Environment, Pattern Recognition Letter 3, pp.119-129, 1985   DOI   ScienceOn
11 John Rasure, et al, Teaching Image Processing with Khoros, International Conference on Image Processing, No.1, pp.506-510, 1994   DOI
12 K. Konstantinides, J. R. Rasure, 'The Khoros software development environment for image and signal processing,' IEEE Trans. on Image Processing, vol.3, no.3, pp.243-252, May 1994   DOI   ScienceOn
13 Roberto H. Bamberger, Portable Tools for Image Processing Instruction, International Conference on Image Processing, No.1, pp.525-529, 1995   DOI
14 H. Sato, et al, The VIEW-Station Environment: Tools and Architecture for a Platform Independent Image-Processing Workstation, Proc. 10thInternational Conference on Pattern Recognition, pp.576-584, 1990   DOI
15 MTES, http://www.mg.co.kr
16 Khoros, http://www.khoral.com
17 Robert M. Haralick and Gray Minden, KANDI DATS: An Interactive Image Processing System, Computer Graphics and Image Processing 8, pp. 1-15, 1978   DOI   ScienceOn
18 R. Greenberg, et al, Image Processing for Teaching, Journal of Science Education and Technology
19 Steven, L. Eddins, Michael, T. Orchard, 'Using Matlab and C in an image processing lab course,' proceedings. ICIP-94., IEEE International conference, Vol. 1, pp. 515-519, November 1994   DOI
20 Richard Greenberg, et al., Image Processing for Teaching: A National dissemination Program, International Conference on Image Processing, No.1, pp.511-514, 1995   DOI