Visual Cortex Inspired Intelligent Contour Detection

Barna Reskó; Zoltán Petres; András Róka; Péter Baranyi

doi:10.20965/jaciii.2006.p0761

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JACIII Vol.10 No.5 pp. 761-768

doi: 10.20965/jaciii.2006.p0761

(2006)

Paper:

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Visual Cortex Inspired Intelligent Contour Detection

Barna Reskó, Zoltán Petres, András Róka, and Péter Baranyi

Computer and Automation Research Institute, Hungarian Academy of Sciences, 1111 Budapest, Kende u. 13-17

Received:

July 7, 2006

Accepted:

July 11, 2006

Published:

September 20, 2006

Keywords:

image contour detection, visual feature array, negative filtering

Abstract

The present paper proposes a model for intelligent image contour detection. The model is strongly based on the architecture and functionality of the mammalian visual cortex. A pixel-to-feature transformation is performed on the input image, the result of which is a set of abstract image features, instead of another set of pixels. The contouring task is performed by a vast and complex network of simple units of computation that work together in a parallel way. The use of a large number of such simple units allows a clear structure that can be implemented on a special hardware to allow constant time computation.

Cite this article as:

B. Reskó, Z. Petres, A. Róka, and P. Baranyi, “Visual Cortex Inspired Intelligent Contour Detection,” J. Adv. Comput. Intell. Intell. Inform., Vol.10 No.5, pp. 761-768, 2006.

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References

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[2] H. J. A. Dartnall, J. K. Bowmaker, and J. D. Mollon, “Human visual pigments: Microspectrophotometric results from the eyes of seven persons,” Proc. of Royal Society of London, B., 220: pp. 115-130, 1983.
[3] A. Grinvald, D. Malonek, A. Shmuel, D. Glaser, I. Vanzetta, E. Shtoyerman, D. Shoham, and A. Arieli, “Imaging of Neuronal Activity,” Cold Spring Harbor Laboratory, 1999.
[4] A. Grinvald, D. Malonek, A. Shmuel, D. Glaser, I. Vanzetta, E. Shtoyerman, D. Shoham, and A. Arieli, “Imaging of Neuronal Activity,” chapter Intrinsic signal imaging in the neocortex, pp. 1-17, Cold Spring Harbor Laboratory, 1999.
[5] D. Hubel, “Eye, Brain and Vision,” W. H. Freeman & Company, 1995.
[6] D. H. Hubel and T. N. Wiesel, “Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex,” J. Physiology, 160: pp. 106-154, 1962.
[7] D. H. Hubel and T. N. Wiesel, “Receptive field and functional architecture in two nonstriate visual areas (18-19) of the cat,” J. Neurophysiology, 28: pp. 229-289, 1965.
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[10] A. Polans, W. Baehr, and K. Palczewski, “Turned on by Ca²⁺! The physiology and pathology of Ca²⁺ –binding proteins in the retina,” Trends in Neurosciences, 19(12): pp. 547-554, 1996.
[11] L. Tao, M. Shelley, D. McLaughlin, and R. Shapley, “An egalitarian network model for the emergence of simple and complex cells in visual cortex,” PNAS, 101(1): pp. 366-371, 2004.

This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] H. B. Barlow, “Summation and inhibition of the frog’s retina,” J. Physiology, 119: pp. 69-88, 1953.

[2] [2] H. J. A. Dartnall, J. K. Bowmaker, and J. D. Mollon, “Human visual pigments: Microspectrophotometric results from the eyes of seven persons,” Proc. of Royal Society of London, B., 220: pp. 115-130, 1983.

[3] [3] A. Grinvald, D. Malonek, A. Shmuel, D. Glaser, I. Vanzetta, E. Shtoyerman, D. Shoham, and A. Arieli, “Imaging of Neuronal Activity,” Cold Spring Harbor Laboratory, 1999.

[4] [4] A. Grinvald, D. Malonek, A. Shmuel, D. Glaser, I. Vanzetta, E. Shtoyerman, D. Shoham, and A. Arieli, “Imaging of Neuronal Activity,” chapter Intrinsic signal imaging in the neocortex, pp. 1-17, Cold Spring Harbor Laboratory, 1999.

[5] [5] D. Hubel, “Eye, Brain and Vision,” W. H. Freeman & Company, 1995.

[6] [6] D. H. Hubel and T. N. Wiesel, “Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex,” J. Physiology, 160: pp. 106-154, 1962.

[7] [7] D. H. Hubel and T. N. Wiesel, “Receptive field and functional architecture in two nonstriate visual areas (18-19) of the cat,” J. Neurophysiology, 28: pp. 229-289, 1965.

[8] [8] D. H. Hubel and T. N. Wiesel, “Receptive fields and functional architecture of monkey striate cortex,” J. Physiology, 195: pp. 215-243, 1968.

[9] [9] S. W. Kuffler, “Discharge patterns and functional organization of mammalian retina,” J. Neurophysiology, 16: pp. 37-68, 1953.

[10] [10] A. Polans, W. Baehr, and K. Palczewski, “Turned on by Ca²⁺! The physiology and pathology of Ca²⁺ –binding proteins in the retina,” Trends in Neurosciences, 19(12): pp. 547-554, 1996.

[11] [11] L. Tao, M. Shelley, D. McLaughlin, and R. Shapley, “An egalitarian network model for the emergence of simple and complex cells in visual cortex,” PNAS, 101(1): pp. 366-371, 2004.