摘要
本文运用主成份分析法对铸造零件表面缺陷数字图像进行特征提取,提出了简化零件表面质量自动检测计算量的新方法,具体地阐述了主成份分析法的原理、计算方法、数字图像分割、特征提取,并通过实例分析进行优化参数选取,具有实际应用价值。
In this thesis,the digital figure of the defect of the casting elements is extracced by PCA.And a new method that simplifies the automatic quality detection is also brought forward.The author not only expounds the theory of PCA,the calculating method,the segmatation of digital figure and the feature extration,but also analysis the real example to optimize the selecting of the preferences. This thesis is valuable in the real manufacture.
出处
《微计算机信息》
北大核心
2007年第02X期282-283,296,共3页
Control & Automation
基金
地方产学研结合项目
关键词
主成份分析
数字图像
特征提取
Principal component analysis（PCA）,hnage processing,Feature Extraction
