Extraction and compression of hierarchical isocontours from image data

Thomas Lewiner; Luiz Velho; Hélio Lopes; Vinícius Mello

doi:10.1016/j.compmedimag.2006.05.004

Data Compression

Extraction and compression of hierarchical isocontours from image data

Thomas Lewiner, Luiz Velho, Hélio Lopes, Vinícius Mello

Computerized Medical Imaging and Graphics 30(4): pp. 231-242 (October 2006)

Selected for publication from the Sibgrapi 2004 conference

Extraction and compression of hierarchical isocontours from image data

abstract

Abstract

In this work, we introduce a new scheme to extract hierarchical isocontours from regular and irregular 2D sampled data and to encode it at single rate or progressively. A dynamic tessellation is used to represent and adapt the 2D data to the isocontour. This adaptation induces a controlled multi-resolution representation of the isocontour. This representation can then be encoded while controlling the geometry and topology of the decoded isocontour. The resulting algorithms form an efficient and flexible isocontour extraction and compression scheme.

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BibTeX

@article{isocontour_cmig,
  author        = {Thomas Lewiner and Luiz Velho and Hélio Lopes and Vinícius Mello},
  title         = {Extraction and compression of hierarchical isocontours from image data},
  year          = {2006},
  month         = {october},
  journal       = {Computerized Medical Imaging and Graphics},
  volume        = {30},
  number        = {4},
  pages         = {231--242},
  publisher     = {Elsevier},
  doi           = {10.1016/j.compmedimag.2006.05.004},
  url           = {https://thomas.lewiner.org/pdfs/isocontour_cmig.pdf}
}