3D Steerable Pyramid based on conic filters

摘要

The object of this work is 3D directional structures detection. The detection is based on steerable filters, which can be steered to any orientation fixed by the user, and are synthesized using a limited number of basis filters. These niters are used in a recursive multi-scale transform: the steerable pyramid. 2D multiscale approaches using oriented niters have proved to be efficient to detect such curvilinear patterns. We develop a 3D extension of the steerable pyramid to analyze volumes with a desired number of filters.