Sub-pixel edge fitting using B-spline

Authors:
Frédéric Bouchara;Marc Bertrand;Sofiane Ramdani;Mahmoud Haydar
Affiliations:
Université du Sud Toulon-Var, UMR CNRS LSIS, La Garde Cedex, France;Université du Sud Toulon-Var, UMR CNRS LSIS, La Garde Cedex, France;Université de Montpellier I, France;Université du Sud Toulon-Var, UMR CNRS LSIS, La Garde Cedex, France
Venue:
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Year:
2007

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Abstract

In this paper we propose an algorithm for the sub-pixel edge detection using a B-spline model. In contrast to the usual methods which are generally sensitive to local perturbations, our approach is based on a global computation of the edge using a Maximum Likelihood rule. In the proposed algorithm the likelihood of the observations is explicitly computed, it ensures the filtering of the noisiest data. Experiments are given and show the adequacy and effectiveness of this algorithm.