Detection of Symmetry Axis by a CNN-based Algorithm (Contributo in atti di convegno)

Type
Label
  • Detection of Symmetry Axis by a CNN-based Algorithm (Contributo in atti di convegno) (literal)
Anno
  • 2007-01-01T00:00:00+01:00 (literal)
Alternative label
  • G. Costantini; D. Casali (2007)
    Detection of Symmetry Axis by a CNN-based Algorithm
    in 11th WSEAS International Conference on CIRCUITS, Agios Nikolaos, Crete Island,
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • G. Costantini; D. Casali (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • G. COSTANTINI1,2, D. CASALI1 1Department of Electronic Engineering University of Rome \"Tor Vergata\" Via del Politecnico, 1 - 00133 ROMA ITALY 2Institute of acoustics \"O. M. Corbino\" Via del Fosso del Cavaliere, 100 - 00133 ROMA ITALY (literal)
Titolo
  • Detection of Symmetry Axis by a CNN-based Algorithm (literal)
Abstract
  • In this paper a method for symmetry axis detection in binary images is presented. The method exploits the nonlinear dynamic behavior of Cellular Neural Networks (CNNs), in particular the propagation of bipolar waves. The image is represented in polar form, transforming the symmetry with respect to an arbitrarily oriented axis in a vertical symmetry: the position of the vertical axis corresponds to the angle of the original symmetry axis. The parallel CNN architecture is useful to speed up the computation, because of the high computational cost of the task. The proposed algorithm is tested on a real image with good results. (literal)
Prodotto di
Autore CNR

Incoming links:


Prodotto
Autore CNR di
data.CNR.it