Information fusion : application to data and model fusion for ultrasound image segmentation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Biomedical Engineering Année : 1999

Information fusion : application to data and model fusion for ultrasound image segmentation

Résumé

Nowadays, information fusion constitutes a challenging research topic. The authors' study proposes to achieve the fusion of several knowledge sources. This, in order to detect the esophagus inner wall from ultrasound medical images. After a brief description of information fusion concepts, the authors propose a system architecture including both model and data fusion. The data fusion is accomplished using fuzzy modeling, which can be seen as a monosensor/multiple sources data fusion system. The model fusion is performed using a full-adapted snake theory, which projects the fuzzy decision into the binary decision space.
Fichier non déposé

Dates et versions

hal-02143381 , version 1 (29-05-2019)

Identifiants

  • HAL Id : hal-02143381 , version 1

Citer

Basel Solaiman, Renaud Debon, Florence Pipelier. Information fusion : application to data and model fusion for ultrasound image segmentation. IEEE Transactions on Biomedical Engineering, 1999, 46 (10), pp.1171 - 1175. ⟨hal-02143381⟩
13 Consultations
0 Téléchargements

Partager

Gmail Facebook X LinkedIn More