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Conference papers

A new method to detect arcs and segments from curvature profiles

Jean-Pierre Salmon 1 Isabelle Debled-Rennesson 2 Laurent Wendling 1
1 QGAR - Querying Graphics through Analysis and Recognition
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
2 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : 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.
Keywords : computational geometry image reconstruction image segmentation object detection
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Conference papers
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https://hal.inria.fr/inria-00104414
Contributor : Isabelle Debled-Rennesson Connect in order to contact the contributor
Submitted on : Friday, October 6, 2006 - 3:04:28 PM
Last modification on : Friday, February 4, 2022 - 3:10:50 AM

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INRIA | CNRS | LORIA | UNIV-LORRAINE | INRIA2

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Jean-Pierre Salmon, Isabelle Debled-Rennesson, Laurent Wendling. A new method to detect arcs and segments from curvature profiles. 18th International Conference on Pattern Recognition - ICPR 2006, Aug 2006, Hong-Kong, Hong Kong SAR China. pp.387 - 390, ⟨10.1109/ICPR.2006.123⟩. ⟨inria-00104414⟩

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