Application of Bidimensional Empirical Mode Decomposition to Medical Liquid Opacity Detection

Article Preview

Abstract:

A Robert operator edge detection algorithm based on Bidimensional Empirical Mode Decomposition (BEMD) to detect medical liquid opacity is proposed. This method can effectively resolve the problem that traditional Robert operator edge detection can be easily effected by noise, and it also has certain effects on restraining external environment influence. The simulation results show that, compare with traditional medical liquid opacity detection methods, the proposed method could achieve higher detection accuracy, and has a certain theory and application value.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

530-533

Citation:

Online since:

October 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yang Fu Gang. Analysis of Potential Drug Safety Problems in Production of Medical Infusion and Their Countermeasures[J]. China Safety Science Journal. Vol. 20(5)(2010), pp.102-108.

Google Scholar

[2] Gu Yu, Wang TongQing. Canny Operator Edge Detection Algorithm Based on Bidimensional Emperical Mode Decomposition. Computer Engineering. Vol. 35(18)(2009), pp.212-213.

Google Scholar

[3] Huang N E. The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis[C]. Proceedings of Royal Society. London:The Royal Society,(1998), pp.903-995.

Google Scholar

[4] J.C. Nunes,Y. Bouaoune,E. Delechelle. Image analysis by bidimensional empirical mode decomposi- tion[J] . Image and Vision Computing, (2003), pp.1019-1026.

DOI: 10.1016/s0262-8856(03)00094-5

Google Scholar