Abstract
In order to improve quality of reconstructed image in electromagnetic tomography (EMT), modified conjugate gradient algorithm is devised. This algorithm is added a parameter to conjugate gradient algorithm for realizing sufficient descent property. Convergence is analyzed. Result of image reconstruction is given used Land Weber iteration algorithm, Tikhonov regularization algorithm, conjugate gradient algorithm and modified conjugate gradient algorithm. The evaluation is compared of image error, correlation coefficient, and convergence for image reconstruction. Conclusions are drew, which is modified conjugate gradient algorithm excels other algorithms.
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