  In this paper, we examine several typical texture attributes developed in the
image processing community in recent years with respect to their capability of
characterizing a migrated seismic volume. These attributes are generated in
either frequency or space domain, including steerable pyramid, curvelet, local
binary pattern, and local radius index. The comparative study is performed
within an image retrieval framework. We evaluate these attributes in terms of
retrieval accuracy. It is our hope that this comparative study will help
acquaint the seismic interpretation community with the many available powerful
image texture analysis techniques, providing more alternative attributes for
their seismic exploration.
