MEANINGFUL THICKNESS DETECTION ON POLYGONAL CURVE

Bertrand Kerautret, Jacques-Olivier Lachaud, Mouhammad Said

2012

Abstract

The notion of meaningful scale was recently introduced to detect the amount of noise present along a digital contour. It relies on the asymptotic properties of the maximal digital straight segment primitive. Even though very useful, the method is restricted to digital contour data and is not able to process other types of geometric data like disconnected set of points. In this work, we propose a solution to overcome this limitation. It exploits another primitive called the Blurred Segment which controls the straight segment recognition precision of disconnected sets of points. The resulting noise detection provides precise results and is also simpler to implement. A first application of contour smoothing demonstrates the efficiency of the proposed method. The algorithms can also be tested online.

Paper Citation

in Harvard Style

Kerautret B., Lachaud J. and Said M. (2012). MEANINGFUL THICKNESS DETECTION ON POLYGONAL CURVE . In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-8425-99-7, pages 372-379. DOI: 10.5220/0003760903720379

in Bibtex Style

@conference{icpram12,
author={Bertrand Kerautret and Jacques-Olivier Lachaud and Mouhammad Said},
title={MEANINGFUL THICKNESS DETECTION ON POLYGONAL CURVE},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2012},
pages={372-379},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003760903720379},
isbn={978-989-8425-99-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - MEANINGFUL THICKNESS DETECTION ON POLYGONAL CURVE
SN - 978-989-8425-99-7
AU - Kerautret B.
AU - Lachaud J.
AU - Said M.
PY - 2012
SP - 372
EP - 379
DO - 10.5220/0003760903720379