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Proceedings Paper

Robust estimation of local orientations in images using a multiresolution approach
Author(s): Roland Wilson; S. C. Clippingdale; A. H. Bhalerao
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Paper Abstract

The problem of estimating feature orientation from noisy image data is addressed using a multiresolution technique. It is shown that by an appropriate choice of representation of orientation, it is possible to employ simple linear smoothing methods to reduce estimation noise. The smoothing is done using a combination of scale-space recursive filtering and iterative estimation, giving significant improvements in estimated orientations at low computational cost. Applications to enhancement and segmentation are presented.

Paper Details

Date Published: 1 September 1990
PDF: 11 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24154
Show Author Affiliations
Roland Wilson, Univ. of Warwick (United Kingdom)
S. C. Clippingdale, NHK Science and Technical Research Labs. (Japan)
A. H. Bhalerao, Univ. of Warwick (United Kingdom)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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