Abstract
In this paper, we present an effective and robust shape-based leaf image retrieval system that supports two novel features: improved MPP algorithm and revised dynamic matching method. The improved MPP algorithm reduces the number of points for the shape representation considerably. Moreover, the new dynamic matching method, which is a revised Nearest Neighbor search, reduces the matching time. We implemented a prototype system based on these features and performed several experiments to show its effectiveness. We compare its performance with other known methods and report some of the results.
| Original language | English |
|---|---|
| Pages (from-to) | 589-597 |
| Number of pages | 9 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3687 |
| Issue number | PART II |
| DOIs | |
| Publication status | Published - 2005 |
| Event | Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom Duration: 2005 Aug 22 → 2005 Aug 25 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Cite this
Nam, Y., Hwang, E., & Byeon, K. (2005). ELIS: An efficient leaf image retrieval system. Lecture Notes in Computer Science, 3687(PART II), 589-597. https://doi.org/10.1007/11552499_65