ML Anthology

Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition

William T. Freeman, Edward H. Adelson
ICCV 1990 pp. 406-415
doi:10.1109/ICCV.1990.139562 /iccv/1990/freeman1990iccv-steerable/

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.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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Cite

Text

Freeman and Adelson. "Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139562

Markdown

[Freeman and Adelson. "Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/freeman1990iccv-steerable/) doi:10.1109/ICCV.1990.139562

BibTeX

@inproceedings{freeman1990iccv-steerable,
  title     = {{Steerable Filters for Early Vision, Image Analysis, and Wavelet Decomposition}},
  author    = {Freeman, William T. and Adelson, Edward H.},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {406-415},
  doi       = {10.1109/ICCV.1990.139562},
  url       = {https://mlanthology.org/iccv/1990/freeman1990iccv-steerable/}
}