Service interruption on Monday 11 July from 12:30 to 13:00: all the sites of the CCSD (HAL, Epiciences, SciencesConf, AureHAL) will be inaccessible (network hardware connection).
Skip to Main content Skip to Navigation
Conference papers

Segmentation of complex images based on component-trees: Methodological tools

Abstract : Component-trees can be used for the design of image processing methods, and in particular segmentation ones. However, despite their ability to consider various kinds of knowledge and their tractable computation, methodological deadlocks often forbid to efficiently involve them in real applications. In this article, we explore new solutions to some of these deadlocks, and more especially those related to (i) complexity of the structures of interest and (ii) multiple knowledge handling. The usefulness of the proposed strategies is illustrated by preliminary results related to vessel segmentation from 3-D angiographic data.
Complete list of metadata

Cited literature [19 references]  Display  Hide  Download

https://hal.inria.fr/inria-00412967
Contributor : Benoît Naegel Connect in order to contact the contributor
Submitted on : Wednesday, February 28, 2018 - 8:52:40 PM
Last modification on : Saturday, October 16, 2021 - 11:26:08 AM
Long-term archiving on: : Monday, May 28, 2018 - 6:49:42 PM

File

Caldairou_ISMM_2009.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

Benoît Caldairou, Benoît Naegel, Nicolas Passat. Segmentation of complex images based on component-trees: Methodological tools. International Symposium on Mathematical Morphology (ISMM), 2009, Groningen, Netherlands. pp.171-180, ⟨10.1007/978-3-642-03613-2_16⟩. ⟨inria-00412967⟩

Share

Metrics

Record views

125

Files downloads

141