Graduate and professional development in imaging and optical signal processing, and related fields

Campbell, J. G. and Murtagh, F. and Köküer, M. (2002) Graduate and professional development in imaging and optical signal processing, and related fields. [Conference Proceedings]

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Image processing, signal processing and computer vision are increasing in importance, and are indeed slowly being considered as core competences in computer science. The specification of computing curricula by the ACM and the IEEE Computer Society states that technical advances over the past decade have increased the importance of topics such as graphics and multimedia, and considers as a core topic Graphics and Visual Computing. With the advent of courses in digital media in electrical engineering and computer science, the increasing importance of computer imaging and vision is manifest, and not only in electrical engineering and computer science departments. The need for development and training of research students is more often than not badly catered for at the present time in Irish universities (Republic, Northern Ireland). Research students are often from diverse discipline and educational system backgrounds. A characteristic of a dynamic and effective graduate and research student environment is not just the raw numbers of PhDs produced, but also relative consensus on the part of the community on the most effective major directions of innovation and of focus. On any such qualitative characteristic, Irish universities, institutes of technology and research institutes are not performing well. Successful models for such community-strengthening include doctoral networks at European level, and summer schools at national or regional level. This paper addresses specific issues: (i) the means by which the needs for graduate research level community-strengthening in the areas of signal processing, and image processing and computer vision, can be satisfied; (ii) what the most crucial elements of these fields are, i.e. proposed key areas and curricula.

Item Type: Conference Proceedings
Additional Information: Conference code: 61341; Export Date: 23 February 2015; CODEN: PSISD; Correspondence Address: Campbell, J.G.; Department of Computing, Letterkenny Institute of Technology, Letterkenny, County Donegal, Ireland; email:; References: Computing curricula 2001, computer science, final report (2001) Tech. Rep., , IEEE Computer Society and Association for Computing Machinery; Wand, I., Overview report from the computer science panel (unit of assessment 25), research assessment exercise 2001 (2001) Tech. Rep., , UK HEA; Schneider, F.B., Rodd, M., International review of UK research in computer science (2001) Tech. Rep., , EPSRC, BCS, IEE; Intel image processing library (2002) Tech. Rep., , Intel Corp; Java(TM) Advanced Imaging (JAI) API home page (2002) Tech. Rep., , Sun Microsystems; Petrou, M., Bosdogianni, P., (1999) Image Processing - The Fundamentals, , Wiley; Gonzalez, R., Woods, R., (2002) Digital Image Processing, , Prentice Hall, 2nd ed; Castleman, K., (1996) Digital Image Processing, , Prentice Hall; Rosenfeld, A., Kak, A., (1982) Digital Picture Processing, 1. , London: Academic Press, 2nd ed; Rosenfeld, A., Kak, A., (1982) Digital Picture Processing, 2. , London: Academic Press, 2nd ed; Pratt, W., (1991) Digital Image Processing, , Chichester, UK: John Wiley and Sons, second ed; Jain, A., (1989) Fundamentals of Digital Image Processing, , Englewood Cliffs NJ: PTR Prentice Hall; Low, A., (1991) Introductory Computer Vision and Image Processing, , McGraw-Hill; Davies, E., (1997) Machine Vision - Theory, Algorithms, Practicalities, , London: Academic Press, 2nd ed; Davies, E., (2000) Image Processing for the Food Industry, , World Scientific; Sonka, M., Hlavac, V., Boyle, R., (1993) Image Processing, Analysis and Machine Vision, , Chapman & Hall; Bassmann, H., Besslich, P., (1995) Ad Oculos, Digital Image Processing, , International Thompson Publishing; Efford, N., (2000) Digital Image Processing: A Practical Introduction using Java, , Addison Wesley; Masters, T., (1995) Signal and Image Processing with Neural Networks: C++ Sourcebook, , John Wiley & Sons, New York; Parker, J., (1996) Algorithms for Image Processing and Computer Vision, , John Wiley; Whelan, P.F., Molloy, D., (2000) Machine Vision Algorithms in Java, , Springer Verlag; Murtagh, F., Campbell, J., Image processing and pattern recognition - Course notes (1998) Tech. Rep., , Queen's University Belfast; Fisher, R., The use of multiple measurements in taxonomic problems (1936) Annals of Eugenics, 7, pp. 179-188; Bishop, C., (1995) Neural Networks for Pattern Recognition, , Oxford University Press, Oxford, U.K; Haykin, S., (1999) Neural Networks - A Comprehensive Foundation, , Prentice Hall, 2nd ed; Mitchell, T.M., (1997) Machine Learning, , McGraw-Hill; Cherkassky, V., Muller, F., (1998) Learning from Data, , Wiley; Therrien, C., (1989) Decision, Estimation, and Classification, , Chichester, UK: John Wiley and Sons; Hastie, T., Tibshirani, R., Friedman, J., (2001) The Elements of Statistical Learning, , Springer; Witten, I., Frank, E., (2000) Data Mining, , Morgan Kaufmann
Uncontrolled Keywords: Computer science; Computer vision; Data mining; Education; Image processing; Multimedia; Signal processing; Curricula; Multimedia systems; Personnel training; Computer imaging; Imaging techniques
Depositing User: National Forum
Date Deposited: 08 Dec 2015 20:18
Last Modified: 08 Dec 2015 20:18

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