
Vectorization, i.e. raster-to-vector conversion, is a central part of graphics recognition problems. In this paper, we discuss the pros and the cons of basing one's vectorization process on skeletonization. While distance skeletons have proven to be robust and precise, they tend to distort the results at line extremities and junctions. In these cases, contour-matching approaches yield better results, but they have their own specific problems. A perspective is probably to combine the best of both methods.
[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], vectorisation, vectorization, skeleton, graphics recognition, reconnaissance de graphiques, squelette
[INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], vectorisation, vectorization, skeleton, graphics recognition, reconnaissance de graphiques, squelette
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
