
doi: 10.1007/11919629_44
The work investigates pattern recognition methods to detect venation patterns on leaves. An automated technique that involves scale space analysis and an automated technique that includes a combination of edge detectors are compared with a manual technique. A small data set of five images is considered in this initial exploratory work and the results are qualitatively evaluated. The results show that the technique involving scale-space analysis is demonstrated to be a promising research direction to pursue.
| 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). | 28 | |
| 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 |
