Title :
Steerable wedge filters for local orientation analysis
Author :
Simoncelli, Eero P. ; Farid, Hany
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
fDate :
9/1/1996 12:00:00 AM
Abstract :
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 π, independent of image structure. We present a more general set of steerable filters that alleviate this problem
Keywords :
edge detection; filtering theory; image processing; interpolation; directional derivatives; image orientation; interpolation functions; local orientation analysis; local orientation pattern; steerable filters; wedge filters; Equations; Gaussian approximation; Gaussian processes; Image analysis; Image processing; Image segmentation; Interpolation; Nonlinear filters; Pattern analysis; Periodic structures;
Journal_Title :
Image Processing, IEEE Transactions on
