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

Ultimate Opening Segmentation with Shape Constraints

Abstract : In this paper, a novel method for image segmentation with shape constraints is presented. This method is based on a morphological operator named ultimate opening (UO). The UO is an operator based on numerical residues. Our ap proach introduces shape information to favor the detection of specific shapes. The method is validated in the frame work of two applications: fac¸ade analysis and scene-text detection. The experimental results show that our approach is more robust than the standard UO. Lastly, we conclude and present some perspectives of this work.
Document type :
Conference papers
Complete list of metadata
Contributor : Bibliothèque MINES ParisTech Connect in order to contact the contributor
Submitted on : Thursday, June 13, 2013 - 2:30:24 PM
Last modification on : Wednesday, November 17, 2021 - 12:27:09 PM


  • HAL Id : hal-00833752, version 1


Jorge Hernandez, Beatriz Marcotegui. Ultimate Opening Segmentation with Shape Constraints. Visualization, Imaging, and Image Processing (VIIP), Sep 2008, Palma de Mallorca, Spain. pp.Image Processing, track 630-120. ⟨hal-00833752⟩



Record views