Skip to Main content Skip to Navigation
Conference papers

Robust estimation of curvature along digital contours with global optimization

Abstract : In this paper we introduce a new curvature estimator based on global optimisation. This method called Global Min-Curvature ex- ploits 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 seg- ments 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.
Document type :
Conference papers
Complete list of metadata

Cited literature [23 references]  Display  Hide  Download
Contributor : Bertrand Kerautret Connect in order to contact the contributor
Submitted on : Tuesday, December 9, 2008 - 11:23:27 PM
Last modification on : Monday, October 11, 2021 - 6:16:29 PM
Long-term archiving on: : Monday, June 7, 2010 - 9:28:54 PM


Files produced by the author(s)




Bertrand Kerautret, Jacques-Olivier Lachaud. Robust estimation of curvature along digital contours with global optimization. 14th IAPR International Conference on Discrete Geometry for Computer Imagery - DGCI 2008, 2008, Lyon, France. pp.334-345, ⟨10.1007/978-3-540-79126-3_30⟩. ⟨inria-00345779⟩



Record views


Files downloads