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Considerations Regarding the Minimum Spanning Tree Pyramid Segmentation Method

  • Adrian Ion
  • Walter G. Kropatsch
  • Yll Haxhimusa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4109)

Abstract

The minimum spanning tree pyramid is a hierarchical image segmentation method. We study it’s properties and the regions it produces. We show the similarity with the watershed transform and present the method in a domain in which this is easy to understand. For this, a short overview of both methods is given. Catchment basins are contracted before their neighbouring local maximas. Smooth regions surrounded by borders with maximal local variation are selected. The maximum respectively minimum variation on the border of a region is larger than the maximum respectively minimum variation inside the region.

Keywords

Edge Graph Catchment Basin Statistical Pattern Recognition Minimal Span Tree Problem Small Edge 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Adrian Ion
    • 1
  • Walter G. Kropatsch
    • 1
  • Yll Haxhimusa
    • 1
  1. 1.Pattern Recognition and Image Processing GroupVienna University of TechnologyViennaAustria

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