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 |
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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 |
Bibliographical note
Funding Information:This research was supported by University IT Research Center Project and a grant (no. BDM0100211) to JRL from the Strategic National R&D Program through the Genetic Resources and Information Network Center funded by the Korean Ministry of Science and Technology.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science