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Scene Segmentation by Chaotic Synchronization and Desynchronization

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

Abstract

A chaotic oscillatory network for scene segmentation is presented. It is a two-dimensional array with locally coupled chaotic elements. It offers a mechanism to escape from the synchrony-desynchrony dilemma. As a result, this model has unbounded capacity of segmentation. Chaotic dynamics and chaotic synchronization in the model are analyzed. Desynchronization property is guaranteed by the definition of chaos. Computer simulations confirm the theoretical prediction

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© 2000 Springer-Verlag Berlin-Heidelberg

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Zhao, L. (2000). Scene Segmentation by Chaotic Synchronization and Desynchronization. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_48

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  • DOI: https://doi.org/10.1007/3-540-45482-9_48

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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