Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image segmentation based on oscillatory correlation
Neural Computation
Digital Image Processing
Image recovery and segmentation using competitive learning in a layered network
IEEE Transactions on Neural Networks
A columnar competitive model for solving combinatorial optimization problems
IEEE Transactions on Neural Networks
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Image segmentation is a long existing problem and still regarded as unsolved to a large extent in computer vision. This letter describes the modeling method of competitive neural networks and elucidates its connection with the Hopfield type optimization network. A new algorithm to map the image segmentation problem onto competitive networks is proposed and its convergence is shown by the stability analysis. Finally, the improvement on the competitive neural networks based method is validated by the simulation results.