Identification of rice seed varieties using neural network  

作　　者：刘兆艳 成芳 应义斌 饶秀勤 

机构地区：[1]School of Biosystems Engineering and Food Science, Zhejiang University

出　　处：《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》2005年第11期1095-1100,共6页浙江大学学报（英文版）B辑（生物医学与生物技术）

基　　金：Project supported by the National Natural Science Foundation of China (No. 60008001) and the Natural Science Foundation ofZhejiang Province, China (No. 300297)

摘　　要：A digital image analysis algorithm based color and morphological features was developed to identify the six varieties （ey7954, syz3, xsl 1, xy5968, xy9308, z903） rice seeds which are widely planted in Zhejiang Province. Seven color and fourteen morphological features were used for discriminant analysis, Two hundred and forty kernels used as the training data set and sixty kernels as the test data set in the neural network used to identify rice seed varieties. When the model was tested on the test data set, the identification accuracies were 90.00%, 88.00%, 95.00%, 82.00%, 74.00%, 80.00% for ey7954, syz3, xsl1, xy5968, xy9308, z903 respectively.A digital image analysis algorithm based color and morphological features was developed to identify the six varieties (ey7954, syz3, xs11, xy5968, xy9308, z903) rice seeds which are widely planted in Zhejiang Province. Seven color and fourteen morphological features were used for discriminant analysis. Two hundred and forty kernels used as the training data set and sixty kernels as the test data set in the neural network used to identify rice seed varieties. When the model was tested on the test data set, the identification accuracies were 90.00%, 88.00%, 95.00%, 82.00%, 74.00%, 80.00% for ey7954, syz3, xs11, xy5968, xy9308, z903 respectively.

关 键 词：Machine vision Digital image processing Neural network Rice seeds CLASSIFICATION 

分 类 号：S511[农业科学—作物学] TP39[自动化与计算机技术—计算机应用技术]