Robust Vectorization Using Graph-Based Thinning and Reliability-Based Line Approximation

Abstract

A vectorization method for line patterns which converts digital binary images into line-segment vectors is proposed. The proposed method suppresses shape distortion as well as pseudo-feature points, so it produces more compact and natural-shaped vector data than existing methods. The experimental results of applying the proposed method to geographical maps show that the vectorization method reduces data volume by 74%-87% and suppresses shape distortion more than is possible with a straightforward method.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Suzuki and Ueda. "Robust Vectorization Using Graph-Based Thinning and Reliability-Based Line Approximation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991. doi:10.1109/CVPR.1991.139742

Markdown

[Suzuki and Ueda. "Robust Vectorization Using Graph-Based Thinning and Reliability-Based Line Approximation." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1991.](https://mlanthology.org/cvpr/1991/suzuki1991cvpr-robust/) doi:10.1109/CVPR.1991.139742

BibTeX

@inproceedings{suzuki1991cvpr-robust,
  title     = {{Robust Vectorization Using Graph-Based Thinning and Reliability-Based Line Approximation}},
  author    = {Suzuki, Satoshi and Ueda, Naonori},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1991},
  pages     = {494-500},
  doi       = {10.1109/CVPR.1991.139742},
  url       = {https://mlanthology.org/cvpr/1991/suzuki1991cvpr-robust/}
}