Comparison and Convergence of Two Topological Models for 3D Image Segmentation

Braquelaire A., Damiand G., Domenger J.-P., Vidil F.

Proc. of 4th Workshop on Graph-Based Representations in Pattern Recognition (GBR)
Lecture Notes in Computer Science 2726, pages 59-70, July 2003, York, England

Abstract: In this paper we compare two topological models of 3D segmented images representation. These models are based on a collaboration between a topological representation and a geometrical representation of the regions of the segmented image. In both models the description of the topology lays on topological maps with a combinatorial representation. A geometrical embedding of maps is used to describe the geometry of regions. Both models differ in the way of defining this embedding. The aim of this paper is to compare these two models from the point of view of their interest for image segmentation, and to explore the possibility and the interest of making both these models converge

BibTex references

@InProceedings{BDDV03,
      author = {Braquelaire, A. and Damiand, G. and Domenger, J.-P. and Vidil, F.},
      title = {Comparison and Convergence of Two Topological Models for 3D Image Segmentation},
      booktitle = {Proc. of 4th Workshop on Graph-Based Representations in Pattern Recognition (GBR)},
      series = {Lecture Notes in Computer Science},
      publisher = {Springer Berlin/Heidelberg},
      volume = {2726},
      pages = {59-70},
      month = {July},
      year = {2003},
      address = {York, England},
      url = {https://doi.org/10.1007/3-540-45028-9_6}
}

Guillaume Damiand

Comparison and Convergence of Two Topological Models for 3D Image Segmentation

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BibTex references

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