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.
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.
出处
《怀化学院学报》
2012年第2期42-45,共4页
Journal of Huaihua University
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
classification method
linear prepared classifier
BP neural classifier
feature extraction
