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. © Springer-Verlag 2003.
CITATION STYLE
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. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2749, 125–132. https://doi.org/10.1007/3-540-45103-x_18
Mendeley helps you to discover research relevant for your work.