Robust estimation of local orientations in images using a multiresolution approach

Roland Wilson; S. C. Clippingdale; A. H. Bhalerao

doi:10.1117/12.24154

1 September 1990 Robust estimation of local orientations in images using a multiresolution approach

Roland Wilson, S. C. Clippingdale, A. H. Bhalerao

Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24154
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland

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.

Citation Download Citation

Roland Wilson, S. C. Clippingdale, and A. H. Bhalerao "Robust estimation of local orientations in images using a multiresolution approach", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24154

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