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Shape-Tree Semilattices

Variations and Implementation Schemes
  • Renato Keshet
Conference paper
Part of the Computational Imaging and Vision book series (CIVI, volume 30)

Abstract

The shape-tree semilattice is a new framework for quasi-self-dual morphological processing, where eroded images have all shapes shrunk in a contrast-invariant way. This approach was recently introduced, and is further investigated here. Apart of reviewing their original definition, different algorithms for computing the shape-tree morphological operators are presented.

Keywords

Complete inf-semilattices self-dual operators tree of shapes fillhole 

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References

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Copyright information

© Springer 2005

Authors and Affiliations

  • Renato Keshet
    • 1
  1. 1.Hewlett-Packard Labs—IsraelTechnion City, HaifaIsrael

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