Steerable filters have been used to analyze local orientation patterns in imagery. Such filters are typically based on directional derivatives, whose symmetry produces orientation responses that are periodic with period , independent of image structure. We present a more general set of steerable filters that alleviate this problem.
Eero P. Simoncelli, Hany Farid