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Image Reconstruction for Electrical Capacitance Tomography Based on Barzilai-Borwein Gradient Projection for Sparse Reconstruction Algorithm |
ZHANG Li-feng,SONG Ya-jie |
Department of Automation, North China Electric Power University, Baoding, Hebei 071003, China |
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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.
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Received: 11 January 2018
Published: 10 June 2019
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Corresponding Authors:
Li-Feng ZHANG
E-mail: hdlfzhang@126.com
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