ELIS: An efficient leaf image retrieval system

Yunyoung Nam, Een Jun Hwang, Kwangjun Byeon

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

6 Citations (Scopus)

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 publicationLecture Notes in Computer Science
EditorsS. Singh, M. Singh, C. Apte, P. Perner
Pages589-597
Number of pages9
Volume3687
EditionPART II
Publication statusPublished - 2005
EventThird International Conference on Advances in Patten Recognition, ICAPR 2005 - Bath, United Kingdom
Duration: 2005 Aug 222005 Aug 25

Other

OtherThird International Conference on Advances in Patten Recognition, ICAPR 2005
CountryUnited Kingdom
CityBath
Period05/8/2205/8/25

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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)