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Machine Vision and Applications

, Volume 27, Issue 8, pp 1161–1174 | Cite as

Topology-based image segmentation using LBP pyramids

  • Martin Cerman
  • Ines Janusch
  • Rocio Gonzalez-Diaz
  • Walter G. Kropatsch
Special Issue Paper
  • 313 Downloads

Abstract

In this paper, we present a new image segmentation algorithm which is based on local binary patterns (LBPs) and the combinatorial pyramid and which preserves structural correctness and image topology. For this purpose, we define a codification of LBPs using graph pyramids. Since the LBP code characterizes the topological category (local max, min, slope, saddle) of the gray level landscape around the center region, we use it to obtain a “minimal” image representation in terms of the topological characterization of a given 2D grayscale image. Based on this idea, we further describe our hierarchical texture aware image segmentation algorithm and compare its segmentation output and the “minimal” image representation.

Keywords

Local binary patterns Irregular graph pyramid Primal and dual graph Topological characterization Image segmentation 

Notes

Acknowledgments

We thank both referees for their valuable comments and suggestions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Martin Cerman
    • 1
  • Ines Janusch
    • 1
  • Rocio Gonzalez-Diaz
    • 2
  • Walter G. Kropatsch
    • 1
  1. 1.PRIP groupTU WienViennaAustria
  2. 2.Applied Math Department, School of Computer EngineeringUniversity of SevilleSevilleSpain

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