摘要
通过改变入射的X射线能谱, 从而得到物体内部不同密度成分的分布图像的方法,是X辐射成像领域的一个重要课题。本文提出了一种新的图像分离方法, 即通过影像灰度进行密度分布图像重建, 从本质上对这种算法进行了探讨, 证明了这种算法的可行性, 并且进行了两种成分的图像分离实验,取得了较好的结果。这种方法的突出特点是减少了运算量和运算时间,可以快速实现图像分离, 有一定的实用性。
It is an important issue to get the density distributed image inside an object by changing energy spectrum of incident X ray. In this paper, the authors brought up a new method for image separation, i.e. by reconstruction of density distributed imaging with gray levels of images. We discussed the nature of the algorithm, and proved the feasibility of the algorithm. Finally. Some experimental to separate images of two components results are given. From the results we can couclude:the features of this method are: the time of calculation can be reduced a lot, and the calculation is simplified; the images can be separated faster. Hopefully, this method can be, applied in practice.$$$$
出处
《北京生物医学工程》
1999年第4期225-229,共5页
Beijing Biomedical Engineering
基金
国家自然科学基金
关键词
X射线
能谱
密度解析成像
快速分离算法
X ray
Energy spectrum
Density analytic imaging
Fast separation algorithm
Non Linear correction