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.
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van Ginkel, M., Kraaijveld, M.A., van Vliet, L.J., Reding, E.P., Verbeek, P.W., Lammers, H.J. (2003). Robust Curve Detection Using a Radon Transform in Orientation Space. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_18
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DOI: https://doi.org/10.1007/3-540-45103-X_18
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