Liquid opacity detection method based on Bidimensional Empirical Mode Decomposition

被引：0
|
作者：
Guo Qiang [1 ]
Song Wenming [1 ]
机构：
[1] Harbin Engn Univ, Coll Informat & Commun Engn, Haerbin, Peoples R China
来源：
2013 THIRD INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC) | 2013年
关键词：
Bidimensional empirical mode decomposition; Robert operator; Turbidity detection;
D O I：
10.1109/IMCCC.2013.277
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
According to the problem that liquid turbidity detection is vulnerable to the noise, a novel liquid turbidity detection method based on Bidimensional Empirical Mode Decomposition (BEMD) and Robert operator is proposed. The key part of method is the BEMD algorithm, with which, liquid images can be decomposed to several Intrinsic Mode Functions (IMFs), then we can use Robert operator to detect the edge of each IMF to reconstruct the image edges selectively for highlighting edge details of the liquid and impurity. Experimental results show that the method presented can reduce the influence of random noise on the turbidity detection effectively, and improve the accuracy of turbidity detection.
引用
收藏
页码：1247 / 1252
页数：6
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