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Segmentation in scale space

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Book cover Computer Analysis of Images and Patterns (CAIP 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

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Abstract

A segmentation scheme based on tracing objects and borders through scale space is proposed. Scale space allows to create a hierarchical representation of input data which can be used to tessellate input space into objects with closed and orientable borders. For analyzing the structure of scale space, a neural network approach using synchronizing neural oscillators is proposed.

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Authors and Affiliations

  1. Institute of Theoretical Physics, University of Bremen, Germany

    Rolf D. Henkel

Authors
  1. Rolf D. Henkel
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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Henkel, R.D. (1995). Segmentation in scale space. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_278

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  • DOI: https://doi.org/10.1007/3-540-60268-2_278

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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