Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Boundary Finding with Parametrically Deformable Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Approach to Dynamic Contours Through Stochastic Sampling and Simulated Annealing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Finite-Element Methods for Active Contour Models and Balloons for 2-D and 3-D Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
An analog implementation of discrete-time cellular neural networks
IEEE Transactions on Neural Networks
An Active Contour Algorithm for Continuous-Time Cellular Neural Networks
Journal of VLSI Signal Processing Systems - Special issue on spatiotemporal signal processing with analog CNN visual microprocessors
Robot vision using cellular neural networks
Autonomous robotic systems
Cellular neural networks for color image segmentation
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
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In this work we present a new image segmentation strategy which operates by means of active contours implemented on a multilayer cellular neural network. The approach consists of an expanding and thinning process, guided by external information from a contour which evolves until it reaches the final desired position in the image processed.