Identification of rice seed varieties using neural network

被引：62
|
作者：
Liu Z.-Y. [1 ]
Cheng F. [1 ]
Ying Y.-B. [1 ]
Rao X.-Q. [1 ]
机构：
[1] School of Biosystems Engineering and Food Science, Zhejiang University
来源：
Journal of Zhejiang University-SCIENCE B | 2005年 / 6卷 / 11期
关键词：
Classification; Digital image processing; Machine vision; Neural network; Rice seeds;
D O I：
10.1631/jzus.2005.B1095
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：1095 / 1100
页数：5
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