ELIS: An efficient leaf image retrieval system

Yunyoung Nam, Eenjun Hwang, Kwangjun Byeon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish
Title of host publicationPattern Recognition and Image Analysis - 3rd International Conference on Advances in Pattern Recognition, ICAPR 2005, Proceedings
EditorsSameer Singh, Maneesha Singh, Chid Apte, Petra Perner
PublisherSpringer Verlag
Pages589-597
Number of pages9
ISBN (Print)9783540288336
DOIs
Publication statusPublished - 2005
Event3rd International Conference on Advances in Pattern Recognition, ICAPR 2005 - Bath, United Kingdom
Duration: 2005 Aug 222005 Aug 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3687 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Advances in Pattern Recognition, ICAPR 2005
Country/TerritoryUnited Kingdom
CityBath
Period05/8/2205/8/25

Keywords

  • Hull
  • Sine

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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