Skip to Main content Skip to Navigation
Conference papers

Topological Encoding of 3D Segmented Images

Yves Bertrand 1, * Guillaume Damiand Christophe Fiorio 2
* Corresponding author
2 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : In this paper we define the 3d topological map and give an optimal algorithm which computes it from a segmented image. This data structure encodes totally all the information given by the segmentation. More, it allows to continue segmentation either algorithmically or interactively. We propose an original approach which uses several levels of maps. This allows us to propose a reasonable and implementable solution where other approaches don't allow suitable solutions. Moreover our solution has been implemented and the theoretical results translate very well in practical applications.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal-lirmm.ccsd.cnrs.fr/lirmm-01168508
Contributor : Christophe Fiorio <>
Submitted on : Friday, June 26, 2015 - 8:45:30 AM
Last modification on : Thursday, September 19, 2019 - 1:50:12 PM
Long-term archiving on: : Friday, October 9, 2015 - 6:05:33 PM

File

BerDamFioDGCI00_Topological En...
Files produced by the author(s)

Identifiers

Citation

Yves Bertrand, Guillaume Damiand, Christophe Fiorio. Topological Encoding of 3D Segmented Images. DGCI: Discrete Geometry for Computer Imagery, Dec 2000, Uppsala, Sweden. pp.311-324, ⟨10.1007/3-540-44438-6_26⟩. ⟨lirmm-01168508⟩

Share

Metrics

Record views

317

Files downloads

527