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| Image Reconstruction of Ultrasonic Process Tomography Based on Fast Two-parameter Regularization Algorithm |
| ZHANG Lin,SHAO Fu-qun,ZHOU Ming |
| College of Information Science and Engineer Northeast University, Shenyang, Liaoning 110004, China |
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Abstract A new adapted step two-parameter regularization algorithm is presented to reconstruct image in ultrasound tomography system for detecting distribution of slurry concentration. The overdetermined solution, as a priori information, is embedded into the regularization function by using the transition matrix for accelerate reconstruction.Higher space resolution is achieved and the over-smoothing deficiency of the reconstruction can be avoided effectively. The simulation results show that,compared to Tikhonov regularization algorithm and Landweber algorithm, the correlation coefficient of the reconstructed image by using SATPR are significantly improved and the boundary information of image is more reliable.
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2015, Vol. 36 
