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 metadatas

Cited literature [23 references]  Display  Hide  Download

https://hal.inria.fr/inria-00345779
Contributor : Bertrand Kerautret <>
Submitted on : Tuesday, December 9, 2008 - 11:23:27 PM
Last modification on : Saturday, July 20, 2019 - 11:44:02 AM
Document(s) archivé(s) le : Monday, June 7, 2010 - 9:28:54 PM

File

main.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

260

Files downloads

429