Segmentation Through DWT and Adaptive Morphological Closing

Abstract : Object segmentation is an essential task in computer vision and object recognitions. In this paper, we present an image segmentation technique that extract edge information from wavelet coefficients and uses mathematical morphology to segment the image. We threshold the image to get its binary version and get a high-pass image by the inverse DWT of its high frequency subbands from the wavelet domain. This is followed by an adaptive morphological closing operation that dynamically adjusts the structuring element according to the local orientation of edges. The ensued holes are, subsequently, filled by a morphological fill operation. For comparison, we are relying on the well-established Canny's method and show that in special cases, our method perform better.
Type de document :
Communication dans un congrès
EUSIPCO: EUropean SIgnal Processing COnference, Aug 2011, Barcelona, Spain. 19th European Signal Processing Conference, pp.31-36, 2011, Image segmentation. 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/〉
Liste complète des métadonnées

Littérature citée [10 références]  Voir  Masquer  Télécharger

https://hal-lirmm.ccsd.cnrs.fr/lirmm-00839413
Contributeur : William Puech <>
Soumis le : mardi 2 juillet 2013 - 14:22:05
Dernière modification le : jeudi 24 mai 2018 - 15:59:23
Document(s) archivé(s) le : mercredi 5 avril 2017 - 04:48:37

Fichier

nuhman_1.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : lirmm-00839413, version 1

Collections

Citation

Nuhman Ul Haq, Syed Hamad Sherazi, Khizar Hayat, William Puech. Segmentation Through DWT and Adaptive Morphological Closing. EUSIPCO: EUropean SIgnal Processing COnference, Aug 2011, Barcelona, Spain. 19th European Signal Processing Conference, pp.31-36, 2011, Image segmentation. 〈http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/〉. 〈lirmm-00839413〉

Partager

Métriques

Consultations de la notice

243

Téléchargements de fichiers

503