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 |
|---|---|
| Title of host publication | Lecture Notes in Computer Science |
| Editors | S. Singh, M. Singh, C. Apte, P. Perner |
| Pages | 589-597 |
| Number of pages | 9 |
| Volume | 3687 |
| Edition | PART II |
| 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 |
Other
| Other | Third International Conference on Advances in Patten Recognition, ICAPR 2005 |
|---|---|
| Country | United Kingdom |
| City | Bath |
| Period | 05/8/22 → 05/8/25 |
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ASJC Scopus subject areas
- Computer Science (miscellaneous)
Cite this
Nam, Y., Hwang, E. J., & Byeon, K. (2005). ELIS: An efficient leaf image retrieval system. In S. Singh, M. Singh, C. Apte, & P. Perner (Eds.), Lecture Notes in Computer Science (PART II ed., Vol. 3687, pp. 589-597)