Edge detection of noisy images based on cellular neural networks

@inproceedings{Li2011EdgeDO,
  title={Edge detection of noisy images based on cellular neural networks},
  author={Huaqing Li and Xiaofeng Liao and Chuandong Li and Hongyu Huang and Chaojie Li},
  year={2011}
}
This paper studies a technique employing both cellular neural networks (CNNs) and linear matrix inequality (LMI) for edge detection of noisy images. Our main work focuses on training templates of noise reduction and edge detection CNNs. Based on the Lyapunov stability theorem, we derive a criterion for global asymptotical stability of a unique equilibrium of the noise reduction CNN. Then we design an approach to train edge detection templates, and this approach can detect the edge precisely and… CONTINUE READING
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