| 基于神经网络的玻璃瓶气泡和结石分类研究 |
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| 引用本文： | 吴浪.基于神经网络的玻璃瓶气泡和结石分类研究[J].怀化师专学报,2012(2):42-45. |
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| 作者姓名： | 吴浪 |
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| 作者单位： | [1]韶关学院计算机科学学院,广东韶关512005 [2]中南大学信息科学与工程学院,湖南长沙410083 |
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| 摘 要： | 研究在线视觉检测玻璃瓶气泡和结石的分类方法.根据检测系统具体的应用环境,实现了线性预分类器和BP神经网络分类器,并通过提取合理的样本特征,参数调整,整体优化了玻璃瓶气泡和结石分类识别过程,同时满足了生产的实时要求和识别的精度.
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| 关 键 词： | 分类方法 线性预分类器 BP神经网络分类器 特征提取 |
The Classification Research on the Bubble and Calculus on Glass Bottle Based on Neural Networks |
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| WU Lang.The Classification Research on the Bubble and Calculus on Glass Bottle Based on Neural Networks[J].Journal of Huaihua Teachers College,2012(2):42-45. |
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| Authors: | WU Lang |
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| Institution: | WU Lang,(1.College of Computer Science,Shaoguan University,Shaoguan,Guangdong 512005;2.College of Information Science and Engineering,Central South University,Changsha,Hunan 410083) |
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| Abstract: | This paper mainly makes a study on a classification method of the bubble and calculus on glass bottle on line.We impliment a linear prepared classifier and a BP neural classifier under the specific application environment of the detecting system,and optimize the process of identification on the whole by reasonable feature extraction of samples and the adjustment of parameters.The classification method meets the demands of the time and accuracy of identification. |
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| Keywords: | classification method linear prepared classifier BP neural classifier feature extraction |
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