Diffusion for global optimization in Rn
SIAM Journal on Control and Optimization
Computer Vision, Graphics, and Image Processing
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
Figure-Ground Discrimination: A Combinatorial Optimization Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
Figure-ground separation by a neural dynamical system
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Grouping for Recognition
Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network
Structural Saliency: The Detection of Globally Salient Structures Using a Locally Connected Network
Figure-ground separation by a neural dynamical system
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
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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.