CT理论与应用研究2011，Vol.20Issue(2)：235-243,9.
神经网络模型在X射线图像融合中的应用
The Application of Neural Network Model for X-ray Image Fusion
摘要
Abstract
Under the current urgent circumstances of the aviation security, all countries are intensifying the security inspection. In the view of the specialty of dangerous items, simulating the X-ray image of luggage with dangerous items is an effective way to train inspectors. This simulating method could strengthen their sensibility to the X-ray image of dangerous items in different background. In this paper, firstly analyzing the physics process behind X-ray images fusion and introducing the traditional fusing algorithm, then constructing one three layers neural network to simulate the physics process and achieving the fusion aim, in thc end, comparing thc neural network algorithm and traditional algorithm. It's clear that the neural network model possesses great advantages for X-ray images fusion in the precise and effect aspect.关键词
X射线图像融合/安检培训/神经网络Key words
X-ray images fusion/ security training/ neural network分类
数理科学引用本文复制引用
张健,王学武,孙运达..神经网络模型在X射线图像融合中的应用[J].CT理论与应用研究,2011,20(2):235-243,9.基金项目
国家自然科学基金(10705018). （10705018）
