by Coeurjolly, D and Klette, R
Abstract:
This paper compares previously published length estimators in image analysis having digitized curves as input. The evaluation uses multigrid convergence (theoretical results and measured speed of convergence) and further measures as criteria. This paper also suggests a new gradient-based method for length estimation, and combines a previously proposed length estimator for straight segments with a polygonalization method.
Reference:
A Comparative Evaluation of Length Estimators of Digital Curves (Coeurjolly, D and Klette, R), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 26, 2004.
Bibtex Entry:
@article{coeurjolly2004acurves,
author = "Coeurjolly, D and Klette, R",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
month = "Feb",
pages = "252--258",
title = "A Comparative Evaluation of Length Estimators of Digital Curves",
volume = "26",
year = "2004",
abstract = "This paper compares previously published length estimators in image analysis having digitized curves as input. The evaluation uses multigrid convergence (theoretical results and measured speed of convergence) and further measures as criteria. This paper also suggests a new gradient-based method for length estimation, and combines a previously proposed length estimator for straight segments with a polygonalization method.",
doi = "10.1109/TPAMI.2004.1262194",
issn = "0162-8828",
issue = "2",
keyword = "Curve length",
keyword = "Digital geometry",
keyword = "Length estimator",
keyword = "Multigrid convergence",
language = "eng",
}