Texture segmentation of a 3D seismic section with wavelet transform and Gabor filters

A supervised segmentation of a 3D seismic section is carried out using wavelet packet transform with the Daubechies-2 orthogonal base and multichannel Gabor filtering. Certain features are computed on the wavelet expansion and on the Gabor-filtered signal, and used by a Mahalanobis classifier to recognize and subsequently segment the seismic section. The Gabor filters of the multichannel scheme were designed by considering the minimal classification error in the recognition of geologically well understood zones, taken as patterns. As a result of the segmentation, zones of different internal stratification are identified in the seismic section. This recognition is based on the comparison of the 3D seismic data with the reference patterns extracted from the representative areas, characterized by different textures. A sandy channel is detected in both cases to a given depth. Applied to these data, the methods distinguish clearly between different layers and efficiently separate zones of different internal stratification