Title :
The accuracy and precision of curvature estimation methods
Author :
Worring, Marcel ; Smeulders, Arnold W M
Author_Institution :
Dept. of Math. & Comput. Sci., Amsterdam Univ., Netherlands
fDate :
30 Aug-3 Sep 1992
Abstract :
Deals with the estimation of curvature from digital image data, especially the selection of a curvature estimation procedure based on its accuracy and precision. The authors establish that almost all curvature estimation techniques from literature suffer from a severe directional inaccuracy and/or poor precision (errors depend on the method, orientation and scale ranging from 1% to more than 200%). A practical solution to the curvature estimation problem is presented
Keywords :
image processing; parameter estimation; accuracy; curvature estimation; digital image; image processing; orientation based method; osculating circle based method; path based methods; precision; resampling method; Anisotropic magnetoresistance; Computer science; Digital images; Image analysis; Image resolution; Kernel; Mathematics; Maximum likelihood detection; Measurement standards; Spline;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201946