A comparative evaluation of length estimators of digital curves

IEEE Transactions on Pattern Analysis and Machine Intelligence
David Coeurjolly, Reinhard Klette

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.

References

Mar 1, 1982·IEEE Transactions on Pattern Analysis and Machine Intelligence·L D Wu

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Citations

May 11, 2011·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Yan XuPunam K Saha
Jan 22, 2008·Journal of Neuroscience Methods·Philip J BroserDamian J Wallace
Oct 5, 2010·The Journal of Comparative Neurology·Verena C WimmerRandy M Bruno
Aug 15, 2014·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Dilip K PrasadMichael S Brown
Dec 27, 2008·IEEE Transactions on Pattern Analysis and Machine Intelligence·Nataå A Sladoje, Joakim Lindblad
Jul 5, 2012·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Andrew SundstromBud Mishra
Mar 11, 2010·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Cris L Luengo Hendriks
Feb 14, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·András Hajdu, Ioannis Pitas
Jul 6, 2005·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Mahnaz MaddahZheng G Zhang
Jul 1, 2015·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Alain LebretÉric Petit

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