ELIS: An efficient leaf image retrieval system

Yunyoung Nam; Eenjun Hwang; Kwangjun Byeon

doi:10.1007/11552499_65

ELIS: An efficient leaf image retrieval system

Yunyoung Nam, Eenjun Hwang, Kwangjun Byeon

School of Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

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 language	English
Pages (from-to)	589-597
Number of pages	9
Journal	Lecture Notes in Computer Science
Volume	3687
Issue number	PART II
DOIs	https://doi.org/10.1007/11552499_65
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

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/11552499_65

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title = "ELIS: An efficient leaf image retrieval system",

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.",

author = "Yunyoung Nam and Eenjun Hwang and Kwangjun Byeon",

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AU - Hwang, Eenjun

AU - Byeon, Kwangjun

PY - 2005

Y1 - 2005

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AB - 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.

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DO - 10.1007/11552499_65

M3 - Conference article

AN - SCOPUS:27244448489

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SN - 0302-9743

IS - PART II

Y2 - 22 August 2005 through 25 August 2005

ER -

ELIS: An efficient leaf image retrieval system

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