A new method to detect arcs and segments from curvature profiles

Authors:
J.-P. Salmon;I. Debled-Rennesson;L. Wendling
Affiliations:
LORIA, Campus scientifique, BP 239, Vandoeuvre-les-Nancy Cedex France;LORIA, Campus scientifique, BP 239, Vandoeuvre-les-Nancy Cedex France;LORIA, Campus scientifique, BP 239, Vandoeuvre-les-Nancy Cedex France
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Year:
2006

Citing 0
Cited 4

Curvature and Torsion Estimators for 3D Curves

ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing
Curvature estimation in noisy curves

CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Circular arc reconstruction of digital contours with chosen Hausdorff error

DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Decomposition of a curve into arcs and line segments based on dominant point detection

SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a new method of arc detection based on arithmetic discrete lines is presented. Key points are extracted from such a profile and used for the reconstruction. The used method is fast and easy to implement. Experimental studies on several series of test images show the stability and the robustness of the proposed method.