Lettuce Images Features Extraction and Intelligent Classification of Growth Period

被引：0

作者：

Wang Yan ^{[1
]}

Sun Jun ^{[1
]}

Wang Hongli ^{[1
]}

Dai Zegao ^{[2
]}

Lv Wenxia ^{[1
]}

机构：

[1] Jiangsu Univ, Sch Elect & Informat Engn, Zhenjiang 212013, Peoples R China

[2] Jiangsu Coll Jiangus Univ, Zhenjiang 212013, Jiangsu, Peoples R China

来源：

2012 7TH INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE) | 2012年

关键词：

lettuce image; BP network; feature extraction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Classification of lettuce growth peroid is the premise of records of lettuce growth information. In this study, lettuce images in every growth period are collected. And visible images are preprocessed to extract features to establish initial feature library of lettuce images. Through R cluster analysis on many features, good image eigenvector are obtained. Classification of the lettuce samples are obtained by modeling and analysis of the neural networks. The experimental classification results compared with practical classification results, the recognition accuracy is up to 88.4% ..

引用

页码：274 / 276

页数：3

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