节点文献
针灸针表面缺陷的计算机识别研究
Research on the Auto-Diagnosis of the Surface Fault of Acupuncture Needle
【摘要】 文章着重介绍针灸针表面缺陷的计算机分类识别的方法,利用线阵列CCD电荷耦合器件进行数据采集,通过小波平滑检测法对针灸针表面缺陷特征提取,在此基础上再分类识别,来判断针灸针的好坏。
【Abstract】 The thesis is concentrated on the classification of the surface fault of acupuncture needles by computers.Firstly scanning the transection of a needle by CCD to get data,then extracting the feature of the surface fault of acupuncture needles through MARR wavelet analysis,at last classifying needles to use the feature data of the needle to decide if the needle is good or not.
【关键词】 小波平滑检测法;
特征提取;
分类识别;
【Key words】 MARR wavelet; feature extraction; classification recognition;
【Key words】 MARR wavelet; feature extraction; classification recognition;
【基金】 江苏省应用基础研究项目资助
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2001年24期
- 【分类号】TP391.4
- 【下载频次】92