Seismic image segmentation by fuzzy fusion of attributes
Lionel Valet, Gilles Mauris, P. Bolon, N. Keskes · IEEE Transactions on Instrumentation and Measurement · 2001
To know the subsoil organization, geophysicists try to interpret seismic images acquired by sending acoustic waves into 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 provides a solution to 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.