A Comparative Evaluation of Length Estimators of Digital Curves

IEEE Transactions on Pattern Analysis and Machine Intelligence February 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.

Type

Journal article

Publication

IEEE Transactions on Pattern Analysis and Machine Intelligence

Caption: Comparative evaluation of length estimators (log scale).

@article{dcoeurjo_length_PAMI,
      author = {Coeurjolly, David and Klette, Reinhart},
      issn = {0162-8828},
      journal = {IEEE Transactions on Pattern Analysis and Machine
Intelligence},
      month = {February},
      number = {2},
      pages = {252-258},
      title = {A Comparative Evaluation of Length Estimators of Digital Curves},
      volume = {26},
      year = {2004}
}