A curve-based material recognition method in MeV dual-energy X-ray imaging system

作     者：Zhi-Qiang Chen Tiao Zhao Liang Li 

作者机构：Department of Engineering Physics Tsinghua University Key Laboratory of Particle and Radiation Imaging (TsinghuaUniversity) Ministry of Education 

出 版 物：《Nuclear Science and Techniques》 (核技术（英文）)

年 卷 期：2016年第27卷第1期

页      面：13-20页

核心收录：

学科分类：070207[理学-光学] 07[理学] 08[工学] 0803[工学-光学工程] 0702[理学-物理学] 

基　　金：supported by National Natural Science Foundation of China (Nos. 11235007 and 10905030) 

主　　题：X射线成像系统 校准曲线 材料识别 识别方法 数据处理流程 透明图像 分类精度 实时校正 

摘      要：High-energy dual-energy X-ray digital radiography imaging is mainly used in the material recognition of cargo inspection. We introduce the development history and principle of the technology and describe the data process flow of our system. The system corrects original data to get a dual-energy transparence image. Material categories of all points in the image are identified by the classification curve,which is related to the X-ray energy spectrum. For the calibration of classification curve, our strategy involves a basic curve calibration and a real-time correction devoted to enhancing the classification accuracy. Image segmentation and denoising methods are applied to smooth the image. The image contains more information after colorization. Some results show that our methods achieve the desired effect.