基于matlab环境下的图像重建及吸收率分析作者：李彪，张淼阿里木事迹
柯立芝繁荣
来源：《科技创新与应用》2018年第06期 摘 要：针对重建未知介质的几何形状及吸收率，综合运用滤波反投影算法进行图像重建，首先先引入中心切片定理，采集不同视角下的投影并求解其傅里叶变换，汇集成图像的傅里叶变换再经傅里叶反变换，其次利用matlab iradon函数重建得未知介质的几何形状，再次利用坐标变化和标定参数得出未知介质在正方形托盘中的位置，最后通过matlab rgb2gra函数得到重建图形的灰度值矩阵，由灰度值与吸收率的关系待测未知介质吸收率。 jis关键词：图像重建；滤波反投影法；河南中医学院教务处matlab灰度值；吸收率
中图分类号：TP391.41 文献标志码：A 文章编号：2095-2945（2018）06-0193-02
Abstract： In view of the geometric shape and absorptivity of the unknown medium， the filter back-projection algorithm is used to reconstruct the image. Firstly， the central slice theorem is introduced， and the projection in different angle of view is collected and th
e Fourier transform is solved. The Fourier transform which gathers the image is then transformed by the inverse Fourier transform， and then the geometric shape of the unknown medium is reconstructed by using the matlab iradon function. The position of unknown media in square pallet is obtained by coordinate change and calibration parameters. Finally， the gray value matrix of reconstructed graph is obtained by Matlab rgb2gra function. According to the relationship between gray value and absorptivity，2009nba全明星赛 the absorptivity of unknown medium is determined.
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