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A Comparative Evaluation of Length Estimators of Digital Curves
February 2004 (vol. 26 no. 2)
pp. 252-257
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.
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Index Terms:
Length estimator, digital geometry, curve length, multigrid convergence.
Citation:
David Coeurjolly, Reinhard Klette, "A Comparative Evaluation of Length Estimators of Digital Curves," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, pp. 252-257, Jan. 2004, doi:10.1109/TPAMI.2004.1262194