首页 | 本学科首页   官方微博 | 高级检索  
     检索      

神经网络模型在X射线图像融合中的应用
引用本文: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.
作者姓名:张健  王学武  孙运达
作者单位:1. 清华大学工程物理系,北京,100084;清华大学粒子技术与辐射成像教育部重点实验室,北京,100084
2. 同方威视技术股份有限公司,北京,100084
基金项目:国家自然科学基金(10705018)
摘    要:当前航空安全形势紧张,所有国家都正在加强其安全检测系统.鉴于危险物品的特殊性,对含有危险物品的行李包的X射线图像进行模拟是一种有效培训安检人员的方式.这种模拟方式可以增强安检人员对不同背景环境下危险物品X射线特征的敏感度.在本文中,首先对X射线图像融合的物理过程进行了分析并且介绍了当前此领域中普遍使用的融合算法,随后采...

关 键 词:X射线图像融合  安检培训  神经网络

The Application of Neural Network Model for X-ray Image Fusion
ZHANG Jian,WANG Xue-wu,SUN Yun-da.The Application of Neural Network Model for X-ray Image Fusion[J].Computerized Tomography Theory and Applications,2011,20(2):235-243.
Authors:ZHANG Jian  WANG Xue-wu  SUN Yun-da
Institution:ZHANG Jian 1a,b,WANG Xue-wu 1a,SUN Yun-da 2 1.a)Key Laboratory of Particle and Radiation Imaging,Ministry of Education,b)Department of Engineering Physics,Tsinghua University,Beijing 100084,China 2.Nuctech Company Limited,China
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 algorith...
Keywords:X-ray images fusion  security training  neural network  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号