Title :
Fusion of multi-frequency eddy current signals-by using wavelet analysis method
Author :
Li, Lingqi ; Tsukada, Kazuhiko ; Hanasaki, Koichi ; Liu, Zheng
Author_Institution :
Earth Resources Eng. Dept., Kyoto Univ., Japan
Abstract :
This paper presents a novel scheme to fuse one-dimensional multi-frequency eddy current signals by using multiresolution discrete wavelet analysis method. This technique consists of three steps. First, raw signals are preprocessed and decomposed into approximations and details at different resolution levels. The discrete wavelet transform is adopted at this stage. Then, several fusion processes are implemented in the coefficients domain. Finally, the inverse discrete wavelet transform is achieved to get the fusion result. In this technique, we develop a new mask-signal-modulated fusion algorithm to fuse in coefficients domain. It is performed and compared with other fusion methods based on the criteria of signal-to-noise ratio of the fused result. From our experiments, it demonstrates a better performance and shows a promising application on the two-dimensional multi-frequency eddy current signals.
Keywords :
discrete wavelet transforms; eddy current testing; nondestructive testing; sensor fusion; coefficients domain; data fusion; discrete wavelet transform; inverse discrete wavelet transform; mask-signal-modulated fusion algorithm; multifrequency eddy current signals fusion; multiresolution discrete wavelet analysis method; nondestructive testing; signal-to-noise ratio; wavelet analysis; wavelet analysis method; Discrete wavelet transforms; Eddy currents; Electrical capacitance tomography; Frequency; Fuses; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Wavelet analysis;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021138