Abstract
In this work Cellular Neural Networks are applied to image analysis techniques as a deformable models. To this end the problem is considered based on a discrete-time CNN with cyclic templates and time-variant external inputs. The appropriateness for a VLSI implementation and massively parallel computing of CNNs will permit a considerable improvement in processing speed with respect to the clasical active contours approaches.
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© 1997 Springer-Verlag Berlin Heidelberg
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Vilariño, D.L., Cabello, D., Mosquera, A., Pardo, J.M. (1997). Application of a multilayer discrete-time CNN to deformable models. In: Mira, J., Moreno-Díaz, R., Cabestany, J. (eds) Biological and Artificial Computation: From Neuroscience to Technology. IWANN 1997. Lecture Notes in Computer Science, vol 1240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0032579
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DOI: https://doi.org/10.1007/BFb0032579
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