基于梯度投影稀疏重建算法的电容层析成像图像重建

doi:10.3969/j.issn.1000-1158.2019.04.14

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Abstract During the process of image reconstruction for electrical capacitance tomography, the permittivity of sparse distribution flow regime meets the priori condition of sparsity, the ECT image reconstruction algorithm based on Barzilai-Borwein gradient projection for sparse reconstruction (GPSR-BB) was presented to solve the problem that the reconstructed image is poor when there is a central object, the object is small or there are many objects close to each other in the two-phase flow. Simulation and experimental results showed that GPSR-BB algorithm has a better imaging effect for image reconstruction of small and complex flow patterns, and the reconstructed images with better shape fidelity can be obtained.

Key words： metrology electrical capacitance tomography image reconstruction sparse reconstruction gradient projection Barzilai-Borwein method

Received: 11 January 2018 Published: 10 June 2019

PACS:

TB937

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

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	ZHANG Li-feng
	SONG Ya-jie

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ZHANG Li-feng,SONG Ya-jie. Image Reconstruction for Electrical Capacitance Tomography Based on Barzilai-Borwein Gradient Projection for Sparse Reconstruction Algorithm[J]. Acta Metrologica Sinica, 2019, 40(4): 631-635.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.04.14 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I4/631

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