文章基本信息

标题：Research of Weeds Classification System Based on Shape Feature
本地全文：下载
作者：Gao, Liang ; Li, Dongming ; Zhang, Yihua 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2013
卷号：8
期号：7
页码：1736-1742
DOI：10.4304/jsw.8.7.1736-1742
语种：English
出版社：Academy Publisher
摘要：The paper studied weeds classification system using BP neural network and 6 shape parameters (the ratio of the width and the length, complete degrees, the roundness, the rectangle, ratio of the framework proportion and frame perimeter) based on such characteristic parameters as weed leaf area, perimeter, minimum bounding rectangle, circumcircle, equivalent oval as input feature vectors; and meanwhile trained and improved the system. The experiment results showed when the plant coverage was low, the classification system could identify different weeds better; otherwise, the correct recognition rate was lower.
关键词：Weeds classification;leaf;shape parameters;neural network;coverage