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首页> 外文期刊>Review of Scientific Instruments >Genetic algorithms applied to reconstructing coded imaging of neutrons and analysis of residual watermark
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Genetic algorithms applied to reconstructing coded imaging of neutrons and analysis of residual watermark

机译：遗传算法在中子编码成像重建和残留水印分析中的应用

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摘要

Monte-Carlo simulation of neutron coded imaging based on encoding aperture for Z-pinch of large field-of-view with 5 mm radius has been investigated, and then the coded image has been obtained. Reconstruction method of source image based on genetic algorithms (GA) has been established. “Residual watermark,” which emerges unavoidably in reconstructed image, while the peak normalization is employed in GA fitness calculation because of its statistical fluctuation amplification, has been discovered and studied. Residual watermark is primarily related to the shape and other parameters of the encoding aperture cross section. The properties and essential causes of the residual watermark were analyzed, while the identification on equivalent radius of aperture was provided. By using the equivalent radius, the reconstruction can also be accomplished without knowing the point spread function (PSF) of actual aperture. The reconstruction result is close to that by using PSF of the actual aperture.
机译：研究了半径为5 mm的大视场Z夹点的基于编码孔径的中子编码成像的蒙特卡罗模拟，然后获得了编码图像。建立了基于遗传算法的源图像重建方法。已经发现并研究了在重构图像中不可避免出现的“残留水印”，同时由于其统计波动放大作用，在GA适合度计算中采用了峰归一化。残留水印主要与编码孔径横截面的形状和其他参数有关。分析了残留水印的性质和根本原因，同时提供了等效孔径的识别。通过使用等效半径，也可以在不知道实际孔径的点扩展函数（PSF）的情况下完成重建。通过使用实际孔径的PSF，重建结果接近。

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