Training cellular automata for image processing

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Rosin, Paul L. (2006)
  • Publisher: Institute of Electrical & Electronic Engineers
  • Related identifiers: doi: 10.1109/TIP.2006.877040
  • Subject:
    acm: GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries)
  • References (41)
    41 references, page 1 of 5

    [1] J. von Neumann, Theory of Self-Reproducing Automata. University of Illinois Press, 1966.

    [2] J. Holland, “Logical theory of adaptive systems,” in Essays in Cellular Automata, A. Burks, Ed. University of Illinois Press, 1970.

    [3] S. Wolfram, Cellular Automata and Complexity Collected Papers. Addison-Wesley, 1994.

    [4] M. Gardner, “The fantastic combinations of John Conway's new solitaire game “life”,” Scientific American, pp. 120-123, 1970.

    [5] K. Preston and M. Duff, Modern Cellular Automata-Theory and Applications. Plenum Press, 1984.

    [6] A. Rosenfeld and J. Pfaltz, “Digital distance functions on digital pictures,” Pattern Recognition, vol. 1, no. 1, pp. 33-61, 1968.

    [7] C. Dyer and A. Rosenfeld, “Parallel image processing by memoryaugmented cellular automata,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 3, no. 1, pp. 29-41, 1981.

    [8] T. de Saint Pierre and M. Milgram, “New and efficient cellular algorithms for image processing,” CVGIP: Image Understanding, vol. 55, no. 3, pp. 261-274, 1992.

    [9] G. Hernandez and H. Herrmann, “Cellular automata for elementary image enhancement,” Graphical Models and Image Processing, vol. 58, no. 1, pp. 82-89, 1996.

    [10] I. Karafyllidis, A. Ioannidis, A. Thanailakis, and P. Tsalides, “Geometrical shape recognition using a cellular automaton architecture and its VLSI implementation,” Real-Time Imaging, vol. 3, pp. 243-254, 1997.

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