In this paper, a method for symmetry axis detection in binary images is presented. The method is an improvement of a previous method presented by the same authors. 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 many real images, with good results.

Casali, D., Costantini, G. (2008). An improved method for CNN-based detection of symmetry axis in black and white images. In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications (pp.140-145). NEW YORK : IEEE [10.1109/CNNA.2008.4588666].

An improved method for CNN-based detection of symmetry axis in black and white images

COSTANTINI, GIOVANNI
2008-01-01

Abstract

In this paper, a method for symmetry axis detection in binary images is presented. The method is an improvement of a previous method presented by the same authors. 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 many real images, with good results.
2008 11th International Workshop on Cellular Neural Networks and their Applications, CNNA 2008, Cellular Nano-scale Architectures
Santiago de Compostela, SPAIN
JUL 14-16, 2008
IEEE Circuits & Syst Soc
Rilevanza internazionale
2008
Settore ING-IND/31 - ELETTROTECNICA
English
Artificial intelligence; Image enhancement; Nanostructured materials; Nanotechnology; Neural networks; Bipolar waves; Black and white images; Computational costs; Improved methods; Nano scaling; Nonlinear dynamic behaviors; Real images; Speed ups; Symmetry axis; Vertical axis; Cellular neural networks
Intervento a convegno
Casali, D., Costantini, G. (2008). An improved method for CNN-based detection of symmetry axis in black and white images. In Proceedings of the IEEE International Workshop on Cellular Neural Networks and their Applications (pp.140-145). NEW YORK : IEEE [10.1109/CNNA.2008.4588666].
Casali, D; Costantini, G
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/52648
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