上海交通大学学报

上海交通大学学报（自然版） ›› 2013, Vol. 47 ›› Issue (06): 998-1002.

• 其他 • 上一篇    下一篇

安瓿瓶内杂质检测的信号处理方法

曾涛a,黄梅珍a,梁明亮a,荆俊博b，刘天元b，林培华b   

  1. （上海交通大学a.物理系 光科学与工程研究中心； b.电子信息与电气工程学院， 上海 200240）
     
  • 收稿日期:2012-08-27
  • 基金资助:

    上海市联盟计划资助项目（LM201169）

Signal Processing Methods for Detecting Impurities in Ampoules

ZENG Taoa,HUANG Meizhena,LIANG Minglianga，JING Junbob,LIU Tianyuanb,LIN Peihuab
  

  1. (a.Optical Science and Engineering Research Center, Department of Physics; b.College of Electronic and Electric Engineering, Shanghai Jiaotong University, Shanghai 200240, China)
  • Received:2012-08-27

摘要：

采用光阻法对安瓿瓶内纤毛杂质信号检测进行了实验研究，分析了纤毛杂质的信号特征.对比了Butterworth数字滤波、均值滤波、理想低通滤波和小波变换4种不同滤波方法的滤波效果，滤波后的信噪比分别为13.98、10.80、9.18和14.89 dB，实验表明,小波变换滤波是最佳选择.此外，提出了微分和分段求方差的方法以提高检测结果的可信性.
 
 

关键词: 纤毛, Butterworth滤波, 均值滤波,  , 理想低通滤波, 小波变换, 信噪比

Abstract:

In this paper, an opt-electronic method based on light-blocking theory of detecting impurity signals in ampoules was introduced. The signals of impurities contained in ampoules were investigated and analyzed. First of all, Butterworth digital filter, means filter, ideal low-pass filter and wavelet transform filter were used for the signal pre-processing, and the corresponding SNR(signal to noise ratio) were 13.98, 10.80, 9.18 and 14.89 dB, respectively. Experimental results show that the wavelet transform filter is the best choice. In addition, in order to improve the credibility of the test results, the methods of differential and the criterion of variance of section signal were proposed.
Key words：

Key words: cilia, Butterworth digital filter, means filters, ideal lowpass filter, wavelet transform, signal to noise ratio(SNR)

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