东南大学学报（自然科学版）2016，Vol.46Issue(6)：1122-1125,4.DOI:10.3969/j.issn.1001-0505.2016.06.002
基于原始传感器模式噪声的CT图像来源检测算法
CT image origin identification algorithm based on original sensor pattern noise
摘要
Abstract
To detect the origin of a computed tomography (CT)image without prior knowledge,an origin identification algorithm based on the original sensor pattern noise of the CT scanner is pro-posed.First,5 different sensor pattern noises are extracted from CT images by a filterbank constitu-ted of 5 distinct filters.Then,the original sensor pattern noises are obtained by the inverse transform of three dimensional CT reconstruction for each type of noise.Finally,the statistic feature vectors of the original sensor pattern noises and the support vector machine (SVM)based classifier are com-bined to tackle origin identification.The experimental results show that as for 15 different CT scan-ners from 4 manufacturers,the proposed origin identification algorithm obtains higher identification precision compared with other existing origin identification algorithms based on pattern noises,and the average classification accuracy can reach 94.12%.关键词
图像来源检测/计算机断层扫描/原始传感器模式噪声/支持向量机Key words
image origin identification/computed tomography/original sensor pattern noise/sup-port vector machine分类
信息技术与安全科学引用本文复制引用
段宇平,Gouenou Coatrieux,舒华忠..基于原始传感器模式噪声的CT图像来源检测算法[J].东南大学学报（自然科学版）,2016,46(6):1122-1125,4.基金项目
国家自然科学基金资助项目（61073138，61201344，61271312，61401085，81101104）． （）
