Figure-ground separation by a neural dynamical system

Washington D.C. October 23-October 26

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http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537554

1995 International Conference on Imag ...

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	ASCII Text	x
	Jun Zhang, Jianhua Lin, "Figure-ground separation by a neural dynamical system," Image Processing, International Conference on, vol. 2, pp. 2615, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995.

	BibTex	x
	@article{ 10.1109/ICIP.1995.537554, author = {Jun Zhang and Jianhua Lin}, title = {Figure-ground separation by a neural dynamical system}, journal ={Image Processing, International Conference on}, volume = {2}, year = {1995}, isbn = {0-8186-7310-9}, pages = {2615}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICIP.1995.537554}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Processing, International Conference on TI - Figure-ground separation by a neural dynamical system SN - 0-8186-7310-9 SP EP A1 - Jun Zhang, A1 - Jianhua Lin, PY - 1995 KW - object recognition; image recognition; nonlinear differential equations; visual perception; neural nets; figure-ground separation; neural dynamical system; neural network inspired dynamical system; perceptual grouping problem; nonlinear differential equation; steady state solution; neighbourhood couplings; spatial interactions; perceptual grouping; excitation; inhibition; dot grouping; synthetic images; real-world images VL - 2 JA - Image Processing, International Conference on ER -

Jun Zhang, Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

Jianhua Lin, Dept. of Electr. Eng. & Comput. Sci., Wisconsin Univ., Milwaukee, WI, USA

This paper describes a neural network inspired dynamical system approach to a perceptual grouping problem-figure-ground separation. In this approach, a non-linear differential equation is defined at each pixel site and coupled with those at its neighbours. The steady state solution would determine whether a pixel is part of a salient structure or background/noise. The neighbourhood couplings are used to achieve spatial interactions that are essential to perceptual grouping, such as excitation and inhibition. Experimental results on the grouping of dots in synthetic and real-world images demonstrate the efficacy of the proposed approach.

Index Terms:

object recognition; image recognition; nonlinear differential equations; visual perception; neural nets; figure-ground separation; neural dynamical system; neural network inspired dynamical system; perceptual grouping problem; nonlinear differential equation; steady state solution; neighbourhood couplings; spatial interactions; perceptual grouping; excitation; inhibition; dot grouping; synthetic images; real-world images

Citation:

Jun Zhang, Jianhua Lin, "Figure-ground separation by a neural dynamical system," icip, vol. 2, pp.2615, 1995 International Conference on Image Processing (ICIP'95) - Volume 2, 1995

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