Fast Leak-Resistant Segmentation for Anime Line Art
We propose a fast leak-resistant automatic segmentation method for line art with gaps.Using the existing trapped-ball idea, we develop a fair, prioritized flood-fill that avoids artifacts, augment it with a heuristic region merging strategy and obtain robust results on anime line art minimizing over-segmentation, with consistent performance 5-10 times faster than the baseline method.
Authors
- Akinobu Maejima (ORCID: https://orcid.org/0000-0002-8005-9218)
- Benjamin Allen
- Ken Anjyo (ORCID: https://orcid.org/0000-0001-9528-1754)
Publication Details
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3681758.3698003
- Citations
- 1
- Primary Topic
- Advanced Vision and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.25