测控技术2025，Vol.44Issue(12)：22-29,8.DOI:10.19708/j.ckjs.2025.07.238
行李威胁物体图像的乘法叠加模拟方法研究
Research on Multiplicative Superposition Simulation Method for Luggage Threat Object Images
摘要
Abstract
In order to improve the detection rate of threat objects in X-ray luggage inspection and solve the problem of limited public data set for training the deep learning models,a new X-ray imaging model is pro-posed,which generates a new X-ray image data set through multiplicative superposition simulation method.The generated simulated X-ray images are visually indistinguishable from real images and perform well in detection experiments.The detector model trained with these simulated images can effectively detect threat objects such as guns,shurikens,razors and knives,demonstrating the effectiveness of the proposed method.The proposed X-ray imaging model and its multiplicative superposition simulation method provide a new approach for expanding the data set of X-ray luggage inspection,effectively improve the detection rate of threat objects,and provide an innovative scheme for the field of luggage safety inspection.关键词
行李检查/X射线图像/数据增强/图像乘积/模拟图像Key words
luggage inspection/X-ray image/data enhancement/image product/analog image分类
信息技术与安全科学引用本文复制引用
谭美华,马朋轩..行李威胁物体图像的乘法叠加模拟方法研究[J].测控技术,2025,44(12):22-29,8.基金项目
湖南省教育厅科研项目(23C0360) （23C0360）
永州市指导性科技计划项目(2023YZ004) （2023YZ004）
湖南科技学院科研项目(22XKY037) （22XKY037）
