Abstract
The pulses produced by the PCNN are consistent when the input scene is shifted, rotated, scaled, etc. In other words, the PCNN can still segment an object under these conditions. The one image attribute that causes problems for the PCNN is noise. In the presence of non-trivial noise, neurons lose the ability to synchronise their pulses.
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References
C. McEniry and J.L. Johnson, Methods for Image Segmentation using a Pulse Coupled Neural Network, Neural Network World 2/97, pp. 177–189 (1997).
J.L. Johnson and M.L. Padgett, PCNN Models and Applications, IEEE Trans. Neural Networks, to be published.
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© 1998 Springer-Verlag London
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Lindblad, T., Kinser, J.M. (1998). Dealing with Noise. In: Image Processing using Pulse-Coupled Neural Networks. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3617-0_6
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DOI: https://doi.org/10.1007/978-1-4471-3617-0_6
Publisher Name: Springer, London
Print ISBN: 978-3-540-76264-5
Online ISBN: 978-1-4471-3617-0
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