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Image reconstruction algorithm for two-phase flow electrical capacitance tomography system

机译:两相流电容断层扫描系统的图像重构算法

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A new image reconstruction algorithm based on the genetic algorithms is proposed for two-component flow electrical capacitance system in this paper. Two times reconstructions are performed in once tomography, the first step is reconstructing the image of fewer pixel blocks and the second step is reconstructing image using genetic algorithm with the result of the first step is used in population initialization in order to improve the speed and accuracy of genetic tomography. With this method, cross-section image of two-component flow can be reconstructed with better quality and better accuracy in component concentration than SIRT algorithm.
机译:提出了一种新的基于遗传算法的图像重建算法,提出了本文的双组分流电容系统。在一次断层扫描中执行两次重建,第一步是重建更少像素块的图像,并且使用具有遗传算法的第二步骤是使用遗传算法来重建图像,该遗传算法在群体初始化中使用了第一步,以提高速度和准确性遗传层析成像。通过这种方法,可以以优于SIRT算法的元件浓度更好的质量和更好的精度来重建双组分流的横截面图像。

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