| 基于人工神经网络的马铃薯品质分级系统 |
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| 引用本文： | 高继森,陈勉舟,李玉平.基于人工神经网络的马铃薯品质分级系统[J].五邑大学学报(自然科学版),2008,22(3):62-65. |
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| 作者姓名： | 高继森 陈勉舟 李玉平 |
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| 作者单位： | 兰州交通大学,电子与信息工程学院,甘肃,兰州,730070 |
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| 摘 要： | 综合运用计算机视觉技术、人工神经网络技术以实现马铃薯品质的自动分级．试验表明，该方法能满足马铃薯分级的要求，分级的准确率可以达到90％以上．
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| 关 键 词： | 马铃薯分级 计算机视觉 图像识别 人工神经网络 |
A Study of the System of Potato Quality Classification Based on Artificial Neural Network |
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| GAO Ji-sen,CHEN Mian-zhou,LI Yu-ping.A Study of the System of Potato Quality Classification Based on Artificial Neural Network[J].Journal of Wuyi University(Natural Science Edition),2008,22(3):62-65. |
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| Authors: | GAO Ji-sen CHEN Mian-zhou LI Yu-ping |
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| Institution: | (School of Information and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China) |
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| Abstract: | Computer vision and artificial neural network technologies were synthetically applied to automatic classification of potato quality. Experiments show that the methods mentioned can meet the requirements for the classification. The accuracy rate of the classification is over 90%. |
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| Keywords: | potato classification computer vision image identification artificial neural network |
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