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Image enhancement using MCNP5 code and MATLAB in neutron radiography

机译:在中子射线照相中使用MCNP5代码和MATLAB进行图像增强

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摘要

This work presents a method that can be used to enhance the neutron radiography (NR) image for objects with high scattering materials like hydrogen, carbon and other light materials. This method used Monte Carlo code, MCNP5, to simulate the NR process and get the flux distribution for each pixel of the image and determines the scattered neutron distribution that caused image blur, and then uses MATLAB to subtract this scattered neutron distribution from the initial image to improve its quality.This work was performed before the commissioning of digital NR system in Jan. 2013. The MATLAB enhancement method is quite a good technique in the case of static based film neutron radiography, while in neutron imaging (NI) technique, image enhancement and quantitative measurement were efficient by using ImageJ software. The enhanced image quality and quantitative measurements were presented in this work.
机译:这项工作提出了一种方法,可用于增强具有高散射材料(如氢,碳和其他轻质材料)的物体的中子射线照相(NR)图像。该方法使用蒙特卡洛代码MCNP5来模拟NR过程,并获得图像每个像素的通量分布,并确定导致图像模糊的散射中子分布,然后使用MATLAB从初始图像中减去该散射中子分布。这项工作是在2013年1月启用数字NR系统之前进行的。对于基于静电的薄膜中子射线照相术,而在中子成像(NI)技术中,MATLAB增强方法是一种很好的技术。使用ImageJ软件可以有效地进行增强和定量测量。这项工作提出了增强的图像质量和定量测量。

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