Improving the Accuracy of Skeleton-Based Vectorization - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Book Sections Year : 2002

Improving the Accuracy of Skeleton-Based Vectorization


In this paper, we present a method for correcting a skeleton-based vectorization. The method robustly segments the skeleton of an image into basic features, and uses these features to reconstruct analytically all the junctions. It corrects some of the topological errors usually brought by polygonal approximation methods, and improves the precision of the junction point detection. We first give some reminders on vectorization and explain what a good vectorization is supposed to be. We also explain the advantages and drawbacks of using skeletons. We then explain in detail our correction method, and show results on cases known to be problematic.
Not file

Dates and versions

inria-00100840 , version 1 (26-09-2006)


  • HAL Id : inria-00100840 , version 1


Xavier Hilaire, Karl Tombre. Improving the Accuracy of Skeleton-Based Vectorization. Dorothea Blostein and Young-Bin Kwon. Graphics Recognition - Algorithms and Applications, Springer Verlag, pp.273-288, 2002, Lecture Notes in Computer Science. ⟨inria-00100840⟩
57 View
0 Download


Gmail Facebook Twitter LinkedIn More