Robust curve detection using a radon transform in orientation space

Authors:
M. van Ginkel;M. A. Kraaijveld;L. J. van Vliet;E. P. Reding;P. W. Verbeek;H. J. Lammers
Affiliations:
Delft University of Technology, Delft, The Netherlands;Shell International E&P, Technology Applications and Research, Rijswijk, The Netherlands;Delft University of Technology, Delft, The Netherlands;Shell International E&P, Technology Applications and Research, Rijswijk, The Netherlands;Delft University of Technology, Delft, The Netherlands;Shell International E&P, Technology Applications and Research, Rijswijk, The Netherlands
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

We present a novel approach to parameterised curve detection. The method is based on the generalised Radon transform, which is traditionally applied to a 2D edge/line map. The novelty of our method is the mapping of the original 2D image to a 3D orientation space, which then forms the input for the Radon transform. The orientation space representation can represent multiple intersecting structures and contains local orientation information. We demonstrate our approach on a problem in geology and show that we can detect curves in a heterogeneous and noisy background.