基于小波融合的电容层析成像图像重建

doi:10.3969/j.issn.1000-1158.2019.02.18

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Abstract An image data fusion algorithm based on wavelet transform was proposed to improve the accuracy of reconstructed images. First, reconstructed images were obtained using conjugate gradient least square algorithm and Landweber iterative algorithm, respectively. Secondly, reconstructed images were decomposed by wavelet. After that, the approximate component was processed according to the weighted average fusion rule. The detail component was processed according to the maximum fusion rule of absolute value. Finally, the new reconstructed images were obtained by wavelet reconstruction. Simulation and experimental results showed that the reconstructed images with higher accuracy can be obtained after fusion and the artefacts were decreased obviously.

Key words： metrology electrical capacitance tomography image fusion wavelet transform

Received: 30 October 2017 Published: 07 March 2019

PACS:

TB937

Corresponding Authors: Li-Feng ZHANG E-mail: hdlfzhang@126.com

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	ZHANG Li-feng
	ZHOU Lei

Cite this article:

ZHANG Li-feng,ZHOU Lei. Image Reconstruction for Electrical Capacitance Tomography Based on Wavelet Fusion[J]. Acta Metrologica Sinica, 2019, 40(2): 285-288.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.02.18 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I2/285

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