Irregular tessellation based image analysis

Annick Montanvert

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Independent stochastic processes are used to generate in parallel irregular tessellations of an image. Recursive application of the procedure yields a multiresolution hierarchy adapted to the content of the image. The hierarchy is similar to traditional image pyramids: its height is of log (image-size) order, but by being adapted to the input, it eliminates the artifacts frequently present in the latter. The output obtained at the apex of the hierarchy can be used for fast image analysis. The technique was applied to connected component labeling (labeled images) and segmentation (gray-level images).

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Number of pages6
ISBN (Print)0818620625
StatePublished - Dec 1 1990
Externally publishedYes
EventProceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA
Duration: Jun 16 1990Jun 21 1990


OtherProceedings of the 10th International Conference on Pattern Recognition
CityAtlantic City, NJ, USA

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Montanvert, A. (1990). Irregular tessellation based image analysis. In Proceedings - International Conference on Pattern Recognition (Vol. 1, pp. 474-479). Publ by IEEE.