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. © Springer-Verlag Berlin Heidelberg 2002.
CITATION STYLE
De Oliveira, R., & Monteiro, L. H. A. (2002). Symmetry detection using global-locally coupled maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2415 LNCS, pp. 75–80). Springer Verlag. https://doi.org/10.1007/3-540-46084-5_13
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