Feature Selection of Corn Seed Based on Genetic Algorithm and Support Vector Machine

被引：0
|
作者：
Cheng Hong
Pang Li Xin
机构：
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON INFORMATIONIZATION, AUTOMATION AND ELECTRIFICATION IN AGRICULTURE | 2008年
关键词：
Genetic algorithm; Support Vector Machine; Feature selection; Corn seed;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Studying on corn breed identification based on digital image of the corn seed, it is significant to find out new valuable features for improving recognition rate of corn breed. This paper adopts the algorithm of genetic algorithm (GA) combined with Support Vector Machine (SVM) to optimizing the features of corn. seed. During optimizing process, New features which have greater contributions to recognition are found out from the color and shape features of white part (embryo department) and yellow part (coronal department) of corn seed.
引用
收藏
页码：494 / 499
页数：6
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