ELIS: An efficient leaf image retrieval system

被引:0
|
作者
Nam, Y [1 ]
Hwang, E
Byeon, K
机构
[1] Korea Univ, Dept Elect & Comp Engn, Seoul 136701, South Korea
[2] Ajou Univ, Grad Sch Informat & Commun, Suwon 441749, South Korea
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:589 / 597
页数:9
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