Steerable filters for early vision, image analysis, and wavelet decomposition

Author

Freeman, William T. ; Adelson, Edward H.

Author_Institution

MIT, Cambridge, MA, USA

fYear

1990

fDate

4-7 Dec 1990

Firstpage

406

Lastpage

415

Abstract

An efficient architecture is presented to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively `steer´ a filter to any orientation, and to determine analytically the filter output as a function of orientation. The authors show how to design and steer filters, and present examples of their use in several tasks: the analysis of orientation and phase, angularly adaptive filtering, edge detection, and shape-from-shading. It is also possible to build a self-similar steerable pyramid representation which may be considered to be a steerable wavelet transform. The same concepts can be generalized to the design of 3-D steerable filters, which should be useful in the analysis of image sequences and volumetric data

Keywords

adaptive filters; computer vision; computerised pattern recognition; computerised picture processing; 3-D steerable filters; angularly adaptive filtering; arbitrary orientations; architecture; basis filters; edge detection; image analysis; linear combinations; phase; self-similar steerable pyramid representation; shape-from-shading; steerable filters; vision; volumetric data; wavelet decomposition; Adaptive control; Adaptive filters; Image analysis; Image edge detection; Image motion analysis; Image sequence analysis; Image texture analysis; Laboratories; Nonlinear filters; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, 1990. Proceedings, Third International Conference on

Conference_Location

Osaka

Print_ISBN

0-8186-2057-9

Type

conf

DOI

10.1109/ICCV.1990.139562

Filename

139562