Robust estimation of local orientations in images using a multiresolution approach
Roland Wilson, Simon Clippingdale, Abhir H. Bhalerao · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1990
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.