Stephen Marshall

Stephen Marshall received a first-class honours degree in electrical and electronic engineering from the University of Nottingham in 1979 and the Ph.D. degree in image processing from University of Strathclyde in 1989. In between, he worked at Plessey Office Systems, Nottingham, University of Paisley, and the University of Rhode Island, USA. In recent years, his research activities have been focused on the area of nonlinear image processing. He has pioneered new design techniques for morphological filters based on a class of iterative search techniques known as genetic algorithms. The resulting filters have been applied as four-dimensional operators to successfully restore old film archive material. The work is now the subject of a Scottish Enterprise “Proof of Concept Program,” to commercialise these techniques. He has published over 100 conference and journal papers on these topics including IEE, IEEE, SPIE, SIAM, ICASSP, VIE, and EUSIPCO. He is an Executive Team Member of the IEE Professional Network on Visual Information Engineering (VIE), a former Director and Chairman of the Scottish Chapter, the British Machine Vision Association, and a Founding Member of the Nonlinear Signal and Image Processing (NSIP) Board.

Biography Updated on 2 December 2004

Articles in Scholarly Journals [Incomplete List]

  1. Inference of a Probabilistic Boolean Network from a Single Observed Temporal Sequence
    EURASIP Journal on Bioinformatics and Systems Biology, vol. 2007, Article ID 32454, 15 pages, 2007
  2. Optimal Filters with Multiresolution Apertures
    Journal of Mathematical Imaging and Vision, vol. 20, no. 3, pp. 237–250, 2004
  3. New direct design method for weighted order statistic filters
    IEE Proceedings - Vision, Image, and Signal Processing, vol. 151, no. 1, p. 1, 2004
  4. Editorial
    EURASIP Journal on Applied Signal Processing, vol. 2004, no. 16, pp. 2397–2399, 2004
  5. International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, no. 2, p. 167, 2003
  6. Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 5, pp. 406–416, 2003
  7. Corrections to "Genetic algorithm optimization of multidimensional grayscale soft morphological filters with applications in film archive restoration"
    IEEE Transactions on Circuits and Systems for Video Technology, vol. 13, no. 7, pp. 726–726, 2003
  8. Design of multi-mask aperture filters
    Signal Processing, vol. 83, no. 9, pp. 1961–1971, 2003
  9. Defect detection from scratched 2 in. quadruplex video tape
    Journal of Electronic Imaging, vol. 9, no. 2, p. 203, 2000
  10. Convergence Criteria for Genetic Algorithms
    SIAM Journal on Computing, vol. 30, no. 1, p. 269, 2000
  11. Processing of audio and visual speech for telecommunication systems
    Journal of Electronic Imaging, vol. 8, no. 3, p. 263, 1999
  12. Image and signal processing with mathematical morphology
    Electronics & Communications Engineering Journal, vol. 10, no. 3, p. 117, 1998
  13. Scratch tracking for 2 in video tape applications
    Electronics Letters, vol. 34, no. 22, p. 2112, 1998
  14. Statistical coding method for facial features
    IEE Proceedings - Vision, Image, and Signal Processing, vol. 145, no. 3, p. 187, 1998
  15. The use of genetic algorithms in morphological filter design
    Signal Processing: Image Communication, vol. 8, no. 1, pp. 55–71, 1996
  16. Application of Morphological Pyramids: Fusion of MR and CT Phantoms
    Journal of Visual Communication and Image Representation, vol. 6, no. 2, pp. 196–207, 1995
  17. Use of morphological image processing techniques for the measurement of a fetal head from ultrasound images
    Pattern Recognition, vol. 27, no. 10, pp. 1317–1324, 1994
  18. Multiresolution morphological fusion of MR and CT images of the human brain
    IEE Proceedings - Vision, Image, and Signal Processing, vol. 141, no. 3, p. 137, 1994
  19. Review of shape coding techniques
    Image and Vision Computing, vol. 7, no. 4, pp. 281–294, 1989