DocumentCode :
3061277
Title :
An algorithm for the optimum piecewise linear approximation of digitized curves
Author :
Pérez, Juan-Carlos ; Vidal, Enrique
Author_Institution :
Dept. de Sistemas Inf. y Comput., Univ. Politecnica de Valencia, Spain
fYear :
1992
fDate :
30 Aug-3 Sep 1992
Firstpage :
167
Lastpage :
170
Abstract :
A dynamic programming algorithm for piecewise linear approximation of a digitized curve is presented. This approximation yields a global minimization of the total error between the approximating straight-line segments and the original points. Many error measures can be used with this algorithm although a lower computational cost can be achieved if error measures that can be computed incrementally are used. Two incremental formulations of classical error measures, along with the results of a sample experiment, are also presented
Keywords :
approximation theory; dynamic programming; image processing; image recognition; piecewise-linear techniques; approximating straight-line segments; digitized curve; dynamic programming; error measures; global minimization; image processing; image recognition; incremental formulations; piecewise linear approximation; Approximation algorithms; Computational efficiency; Dynamic programming; Heuristic algorithms; Pattern analysis; Pattern classification; Piecewise linear approximation; Piecewise linear techniques; Signal analysis; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ICPR.1992.201953
Filename :
201953
Link To Document :
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