Cellular automata for edge detection of images

@article{Chang2004CellularAF,
  title={Cellular automata for edge detection of images},
  author={Chun-Ling Chang and Yun-jie Zhang and Yun-Yin Gdong},
  journal={Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)},
  year={2004},
  volume={6},
  pages={3830-3834 vol.6}
}
Cellular automata are discrete dynamical systems whose function is completely specified in terms of local relation. Guided by a suitable recipe, they can simulate a whole hierarchy of structures and phenomena. A new method called cellular automata edge detection model is presented to extract the edge of the image. In this model, the information orientation method is used to deal with the gray scale matrix of the image, a new kind of neighborhood of cellular automata is defined, and then a… CONTINUE READING
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