Seismic image segmentation by fuzzy fusion of attributes

Nowadays, petroleum companies want to find some deposits to be explored in future years. To know the subsoil organization, geophysicists try to interpret seismic images acquired by sending acoustic waves in the soil. This paper presents a method for the segmentation of these images in geological regions in order to help interpreters in their study. Information fusion of image attributes allows to solve part of this complex problem. To realize aggregation, the fuzzy subset theory is an appropriate tool to code interpreter knowledge by a set of rules. The results obtained are promising and show the necessity to evaluate their quality more thoroughly