A SIGNAL-SYMBOL LOOP MECHANISM FOR ENHANCED EDGE EXTRACTION

Sinan Kalkan, Florentin Wörgötter, Shi Yan, Volker Krüger, Norbert Krüger

2008

Abstract

The transition to symbolic information from images involves in general the loss or misclassification of information. One way to deal with this missing or wrong information is to get feedback from concrete hypotheses derived at a symbolic level to the sub-symbolic (signal) stage to amplify weak information or correct misclassifications. This paper proposes such a feedback mechanism between the symbolic level and the signal level, which we call signal symbol loop. We apply this framework for the detection of low contrast edges making use of predictions based on Rigid Body Motion. Once the Rigid Body Motion is known, the location and the properties of edges at a later frame can be predicted. We use these predictions as feedback to the signal level at a later frame to improve the detection of low contrast edges. We demonstrate our mechanism on a real example, and evaluate the results using an artificial scene, where the ground truth data is available.

References

  1. Aloimonos, Y. and Shulman, D. (1989). Integration of Visual Modules - An extension of the Marr Paradigm. Academic Press, London.
  2. Angelucci, A., Levitt, J. B., Walton, E. J. S., Hupe, J.-M., Bullier, J., and Lund, J. S. (2002). Circuits for Local and Global Signal Integration in Primary Visual Cortex. J. Neurosci., 22(19):8633-8646.
  3. Bayerl, P. and Neumann, H. (2007). Disambiguating visual motion by form-motion interaction - a computational model. International Journal of Computer Vision, 72(1):27-45.
  4. Bullier, J. (2001). Integrated model of visual processing. Brain Research Reviews, 36:96-107(12).
  5. Faugeras, O. (1993). Three-Dimensional Computer Vision. MIT Press.
  6. Galuske, R. A. W., Schmidt, K. E., Goebel, R., Lomber, S. G., and Payne, B. R. (2002). The role of feedback in shaping neural representations in cat visual cortex. Proceedings of the National Academy of Science, 99:17083-17088.
  7. Gonzales, R. and Woods, R. (1992). Digital Image Processing. Addison-Wesley Publishing Company.
  8. Gregory, R. L. (1970). The intelligent eye. McGraw-Hill Book Company, New York.
  9. Haglund, L. and Fleet, D. J. (1994). Stable estimation of image orientation. In ICIP (3), pages 68-72.
  10. Hubel, D. and Wiesel, T. (1969). Anatomical demonstration of columns in the monkey striate cortex. Nature, 221:747-750.
  11. Krüger, N. (2005). Three dilemmas of signal- and symbolbased representations in computer vision. Workshop on Brain, Vision and Intelligence, BVAI, Naples, Italy.
  12. Krüger, N., Lappe, M., and Wörgötter, F. (2004). Biologically motivated multi-modal processing of visual primitives. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour, 1(5).
  13. Lee, T. S. (1996). Image representation using 2d gabor wavelets. IEEE Trans. Pattern Anal. Mach. Intell., 18(10):959-971.
  14. Nixon, M. S. and Aguado, A. S. (2002). Feature extraction & image processing. Butterworth Heinmann/Newnes.
Download


Paper Citation


in Harvard Style

Kalkan S., Wörgötter F., Yan S., Krüger V. and Krüger N. (2008). A SIGNAL-SYMBOL LOOP MECHANISM FOR ENHANCED EDGE EXTRACTION . In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 214-221. DOI: 10.5220/0001077602140221


in Bibtex Style

@conference{visapp08,
author={Sinan Kalkan and Florentin Wörgötter and Shi Yan and Volker Krüger and Norbert Krüger},
title={A SIGNAL-SYMBOL LOOP MECHANISM FOR ENHANCED EDGE EXTRACTION},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={214-221},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001077602140221},
isbn={978-989-8111-21-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - A SIGNAL-SYMBOL LOOP MECHANISM FOR ENHANCED EDGE EXTRACTION
SN - 978-989-8111-21-0
AU - Kalkan S.
AU - Wörgötter F.
AU - Yan S.
AU - Krüger V.
AU - Krüger N.
PY - 2008
SP - 214
EP - 221
DO - 10.5220/0001077602140221