A comparative evaluation of length estimators of digital curves.
other · Level V
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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.
Medical subject headings
- Algorithms
- Benchmarking
- Image Interpretation, Computer-Assisted
- Numerical Analysis, Computer-Assisted
- Pattern Recognition, Automated
- Signal Processing, Computer-Assisted