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.
|Number of pages
|Lecture Notes in Computer Science
|Published - 2005
|Third International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom
Duration: 2005 Aug 22 → 2005 Aug 25
Bibliographical noteFunding 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