Robust estimation of curvature along digital contours with global optimization
Apr 1, 2008·
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0 min read
B. Kerautret
Jacques-Olivier Lachaud
Abstract
In this paper we introduce a new curvature estimator based on global optimisation. This method called Global Min-Curvature exploits the geometric properties of digital contours by using local bounds on tangent directions defined by the maximal digital straight segments. The estimator is adapted to noisy contours by replacing maximal segments with maximal blurred digital straight segments. Experimentations on perfect and damaged digital contours are performed and in both cases, comparisons with other existing methods are presented.
Type
Publication
Proc. Int. Conf. Discrete Geometry for Computer Imagery (DGCI'2008), Lyon, France, volume 4992 of Lecture Notes in Computer Science, pp 334-345, 2008. Springer
Discrete Geometry
Digital Contour
Curvature Estimation
Discrete Geometric Estimator
Optimization
Curvature Minimization
Feature Extraction
2D
Authors
Professor of Computer Science
My research interests include digital geometry, geometry processing, image analysis, variational models and discrete calculus.