Title :
Min-# polygonal approximation of closed curves
Author :
Kolesnikov, Alexander ; Fränti, Pasi
Author_Institution :
Dept. of Comput. Sci., Joensuu Univ., Finland
Abstract :
Polygonal approximation of closed contours with minimum number of segments can be found by applying optimal algorithm for the open curves repeated for all possible starting points, or by using heuristic adjustment of the starting point. A better approach, however, is to extend the optimal algorithm from open to closed curves by extending the search space circularly. In this paper, we adopt this idea to the case of min-# problem. The proposed algorithm finds the optimal solution in less than 1.5 times of the time required by the open curve.
Keywords :
approximation theory; dynamic programming; signal processing; closed contours; min-# problem; optimal algorithm; polygonal approximation; Approximation algorithms; Approximation error; Computer science; Computer vision; Dynamic programming; Heuristic algorithms; Image processing; Image segmentation; Speech processing; State-space methods; closed curve; dynamic programming; polygonal approximation;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530107