×

Symmetry detection using global-locally coupled maps. (English) Zbl 1013.68857

Dorronsoro, José R. (ed.), Artificial neural networks - ICANN 2002. 12th international conference, Madrid, Spain, August 28-30, 2002. Proceedings. Berlin: Springer. Lect. Notes Comput. Sci. 2415, 75-80 (2002).
Summary: Symmetry detection through a net of coupled maps is proposed. Logistic maps are associated with each element of a pixel image where the symmetry is intended to be verified. The maps are locally and globally coupled and the reflection-symmetry structure can be embedded in local couplings. Computer simulations are performed by using random gray level images with different image sizes, asymmetry levels and noise intensity. The symmetry detection is also done under dynamic scene changing. Finally the extensions and the adherence of the present model to biological systems are discussed.
For the entire collection see [Zbl 1008.68683].

MSC:

68U99 Computing methodologies and applications
68T05 Learning and adaptive systems in artificial intelligence
92B20 Neural networks for/in biological studies, artificial life and related topics
PDFBibTeX XMLCite
Full Text: Link