Spectral Graph Wavelet Based Nonrigid Image Registration - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Spectral Graph Wavelet Based Nonrigid Image Registration

Résumé

We propose a nonrigid registration method whose motion estimation is cast into a feature matching problem under the Log-Demons framework using Graph Wavelets. We investigate the Spectral Graph Wavelets (SGWs) to capture the shape feature of the images. The advantages of the Spectral Graph Wavelet (SGW) over the classical wavelet is that data representation on graphs is more adapted to data with complex structures. Our experiments on T1 brain images and endomicroscopic images show that this method outperforms the existing nonrigid image registration techniques (i.e. Log-Demons and Spectral Log-Demons) with improved similarity values.
Fichier principal
Vignette du fichier
ICIP2018.pdf (361.75 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01786123 , version 1 (28-01-2019)

Identifiants

Citer

Hong Nhung Pham, David Helbert, Pascal Bourdon, Philippe Carré. Spectral Graph Wavelet Based Nonrigid Image Registration. IEEE International Conference on Image Processing (ICIP 2018), Oct 2018, Athènes, Greece. ⟨10.1109/ICIP.2018.8451013⟩. ⟨hal-01786123⟩
145 Consultations
152 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More