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基于小波变换的陶瓷零件研磨后的正废品识别
Ceramic Parts After Grinding Recognition Based on Wavelet Transform
【摘要】 提出了一种基于小波变换的陶瓷零件研磨后的正废品检测方法。该方法经过两次小波变换,提取二层小波变换的近似分量做为特征向量,然后使用近邻法则进行识别。经过试验分析,发现该方法在对陶瓷零件研磨后的正废品的测试上具有一定的可行性。
【Abstract】 A new method of ceramic parts after grinding recognition is put forward based on Wavelet transform. Ceramic parts images are translated into feature extraction by Wavelet transform,the second LL2 are selected as ceramic parts features,which are applied to training nearest neighbor method for recognition. After experimental analysis,it shows that on the test of the ceramic parts being ground,the method can achieve simpleness,
【关键词】 陶瓷零件;
小波变换;
特征提取;
最邻近距离法则;
【Key words】 ceramic parts; wavelet transform; feature extract; nearest neighbor method;
【Key words】 ceramic parts; wavelet transform; feature extract; nearest neighbor method;
【基金】 山西机电职业技术学院教科研项目(JKY-17025)
- 【文献出处】 佳木斯大学学报(自然科学版) ,Journal of Jiamusi University(Natural Science Edition) , 编辑部邮箱 ,2018年06期
- 【分类号】TP391.41
- 【被引频次】1
- 【下载频次】27