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.
Type de document :
Communication dans un congrès
J. J. Villanueva. Visualization, Imaging, and Image Processing (VIIP), Sep 2008, Palma de Mallorca, Spain. Acta Press, pp.Image Processing, track 630-120, 2008
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00833752
Contributeur : Doriane Ibarra <>
Soumis le : jeudi 13 juin 2013 - 14:30:24
Dernière modification le : mardi 12 septembre 2017 - 11:41:06

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  • HAL Id : hal-00833752, version 1

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

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