Impact of Sparse Pixel Vectorization Algorithm Parameters on Line Segmentation Performance
Identifieur interne : 001D51 ( Main/Exploration ); précédent : 001D50; suivant : 001D52Impact of Sparse Pixel Vectorization Algorithm Parameters on Line Segmentation Performance
Auteurs : Wenyin Liu [République populaire de Chine] ; Xiaoyu Wang [République populaire de Chine] ; Long Tang [République populaire de Chine] ; Dov Dori [Israël]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2000.
Abstract
Abstract: We present the impact of parameters in the Sparse Pixel Vectorization algorithm on the performance of the algorithm, which is evaluated using a pixel level performance evaluation protocol. Both theoretical and experimental analyses are presented, which show that the experimental results are well in accordance with the theoretical analyses. Both prove the robustness of the algorithm. Meanwhile the parameter values for the best performance of the algorithm are also found.
Url:
DOI: 10.1007/3-540-40953-X_31
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: We present the impact of parameters in the Sparse Pixel Vectorization algorithm on the performance of the algorithm, which is evaluated using a pixel level performance evaluation protocol. Both theoretical and experimental analyses are presented, which show that the experimental results are well in accordance with the theoretical analyses. Both prove the robustness of the algorithm. Meanwhile the parameter values for the best performance of the algorithm are also found.</div>
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