Title :
Constrained piecewise linear approximation of digital curves
Author :
Kolesnikov, Alexander
Author_Institution :
Dept. of Comput. Sci. & Stat., Univ. of Joensuu, Joensuu
Abstract :
We have considered a problem of continuous piecewise linear approximation of the digital curves with a minimum number of the line segments. Fast sub-optimal algorithm for constrained piecewise linear approximation is suggested to construct continuous piecewise linear representation of the input curve for a given error bound. The proposed fast sub-optimal algorithm can be used in combination with reduced-search dynamic programming algorithm to get a practically optimal solution in a few iterations. The proposed algorithms have demonstrated both high efficiency and time performance.
Keywords :
approximation theory; dynamic programming; image representation; image segmentation; piecewise linear techniques; constrained piecewise linear approximation; digital curves; fast suboptimal algorithm; line segments; reduced-search dynamic programming algorithm; Approximation algorithms; Approximation error; Computer science; Dynamic programming; Heuristic algorithms; Image analysis; Lagrangian functions; Piecewise linear approximation; Piecewise linear techniques; Statistics;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761656