Topological Map Based Algorithms for 3D Image Segmentation

Damiand G., Resch P.

Proc. of 10th International Conference on Discrete Geometry for Computer Imagery (DGCI)
Lecture Notes in Computer Science 2301, pages 220-231, April 2002, Bordeaux, France

Abstract: One of the most commonly used approach to segment a 2D image is the split and merge approach. In this paper, we are defining these two operations in 3D within the topological maps framework. This mathematic model of regions segmented image representation allows us to define these algorithms in a local and generic way. Moreover, we are defining a new operation, the corefining, which allows to treat big images. They are cut into small units, treated separately, then the result of each of them are combined to reconstruct the final representation. These three operations let us view efficient 3D segmentation algorithms, which is a difficult problem due to the size of data to treat.

BibTex references

@InProceedings{DR02,
      author = {Damiand, G. and Resch, P.},
      title = {Topological Map Based Algorithms for 3D Image Segmentation},
      booktitle = {Proc. of 10th International Conference on Discrete Geometry for Computer Imagery (DGCI)},
      series = {Lecture Notes in Computer Science},
      publisher = {Springer Berlin/Heidelberg},
      volume = {2301},
      pages = {220-231},
      month = {April},
      year = {2002},
      address = {Bordeaux, France},
      url = {https://doi.org/10.1007/3-540-45986-3_20}
}

Guillaume Damiand

Topological Map Based Algorithms for 3D Image Segmentation

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BibTex references

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