Mosaicing of images with few textures and strong illumination changes: Application to gastroscopic scenes. - Centre de Recherche en Automatique de Nancy Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Mosaicing of images with few textures and strong illumination changes: Application to gastroscopic scenes.

Résumé

This paper introduces a robust image mosaicing method. A variational optical flow (OF) method is first proposed to deal with scenes exhibiting strong specular reflections and few texture information. Then, a general form of descriptors invariant to complex illumination variations is given from which a novel descriptor is obtained. Non-linear transformations computed with the OF fields between the images are used to construct the mosaics. Experimental results demonstrate that the proposed method leads to coherent mosaics, even for complex gastroscopic image sequences. Furthermore, it can be potentially used to build mosaics for non-medical scenes.
Fichier non déposé

Dates et versions

hal-01946419 , version 1 (06-12-2018)

Identifiants

  • HAL Id : hal-01946419 , version 1

Citer

Dinh Hoan Trinh, Christian Daul, Walter Blondel, Dominique Lamarque. Mosaicing of images with few textures and strong illumination changes: Application to gastroscopic scenes.. IEEE International Conference on Image Processing, ICIP 2018, Oct 2018, Athènes, Greece. pp.1263-1267. ⟨hal-01946419⟩
205 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More