粮油食品科技Issue(1):106-111,6.
基于 RGB 图像特征的大豆含水量快速测定系统研究
Research of the moisture content of soybean rapid detection system based on RGB image features
摘要
Abstract
This study is base on machine vision technology,choose the soybean which from Heilongjiang, America,Brazil and Argentina,through the MATLAB image processing,combined with soybean moisture content,in order to be able to accurately predict the moisture content in soybean.Finally,through the MATLAB GUI(graphical user interface)design and develop a set of online moisture content of soybean moisture measurement software.Through the comparison of predictive value and the true value of the soy-bean,the prediction accuracy of this software could run up to 97% under the same batches.This software provide a reliable theoretical basis for the online determination of moisture of grain.关键词
机器视觉/大豆/含水量/快速检测Key words
machine vision/soybean/moisture/rapid detection分类
轻工纺织引用本文复制引用
黄南,王若兰,岳佳..基于 RGB 图像特征的大豆含水量快速测定系统研究[J].粮油食品科技,2016,(1):106-111,6.基金项目
国家高技术研究发展计划(863计划)项目 ()