基于LVQ神经网络的植物种类识别

Abstract

Abstract: A new method of computeraided plant species identification based on learning vector quantization (LVQ) neural network is proposed. In this method 2-D moment invariants, multi-resolution Gabor filters and statistical moments are used to extract leaf information, such as geometry feature of leaf shape, texture feature of nervation, and LVQ neural network is used to distinguish the plant species. The experimental results illustrate the effectiveness of this method.

Key words: computeraided plant identification, 2-D Gabor filter, LVQ neural network

CLC Number:

TP391

WANG Lu, ZHANG Lei, ZHOU Yanjun, ZENG Xiaoyun, KONG Jun. Computeraided Plant Species IdentificationBased on LVQ Neural Network[J].J4, 2007, 45(03): 421-426.

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Computeraided Plant Species IdentificationBased on LVQ Neural Network

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