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

Nowadays, information fusion constitutes a challenging research topic. Our study proposes to achieve the fusion of several knowledge sources. This, in order to detect the esophagus inner wall from ultrasound medical images. A fter a brief description of information fusion concepts, we propose a syste m architecture including both model and data fusion. The data fusion is acc omplished using fuzzy modeling, which can be seen as a monosensor/multiple sources data fusion system. The model fusion is performed using a full-adap ted snake theory, which projects the fuzzy decision into the binary decisio n space.