Grading Tobacco Leaves Based on Image Processing and Generalized Regression Neural Network

被引：0
|
作者：
Liu, Jianjun [1 ]
Shen, Jinyuan [2 ]
Shen, Zhenyu [2 ]
Liu, Runjie [2 ]
机构：
[1] Henan Agr Univ, Zhengzhou Branch, Henan Prov Tobacco Co, Coll Life Sci, Zhengzhou, Peoples R China
[2] Zhengzhou Univ, Sch Informat Engn, Zhengzhou, Peoples R China
来源：
2012 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT CONTROL, AUTOMATIC DETECTION AND HIGH-END EQUIPMENT (ICADE) | 2012年
关键词：
image processing; neural networks; MIV; tobacco leaf grading;
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：
Tobacco quality is determined by its grade and the tobacco leaf grading is mainly based on manual classification, depending on people's senses. The area, perimeter, length, width, colors and so on are the key factors effecting tobacco grades. Almost of them can be shown from the leaf image. So the digital image technology is used to extract the leaf features and a generalized regression neural network is employed to determine its grade. The method of mean influence value is used to move the features which have small. Some tobacco leaves provided are graded by the proposed method. The results show that our method is practicable and effective.
引用
收藏
页码：89 / 93
页数：5
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