inria-00345779, version 1
Robust estimation of curvature along digital contours with global optimization
Bertrand Kerautret
1Jacques-Olivier Lachaud 2
14th IAPR International Conference on Discrete Geometry for Computer Imagery - DGCI 2008 4992 (2008) 334-345
Résumé : In this paper we introduce a new curvature estimator based on global optimisation. This method called Global Min-Curvature ex- ploits the geometric properties of digital contours by using local bounds on tangent directions defined by the maximal digital straight segments. The estimator is adapted to noisy contours by replacing maximal seg- ments with maximal blurred digital straight segments. Experimentations on perfect and damaged digital contours are performed and in both cases, comparisons with other existing methods are presented.
- 1 : ADAGIO (LORIA)
- CNRS : UMR7503 – Université Henri Poincaré - Nancy I – Université Nancy II – INRIA – Institut National Polytechnique de Lorraine (INPL)
- 2 : Laboratoire de Mathématiques (LAMA)
- CNRS : UMR5127 – Université de Savoie
- Domaine : Informatique/Traitement des images
- Mots-clés : Curvature estimator
- inria-00345779, version 1
- http://hal.inria.fr/inria-00345779
- oai:hal.inria.fr:inria-00345779
- Contributeur : Bertrand Kerautret
- Soumis le : Mardi 9 Décembre 2008, 23:23:27
- Dernière modification le : Vendredi 12 Décembre 2008, 09:57:38
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