Real-time CNN-based object detection of prohibited items for X-ray security screening
Authors:
- Junsung ParkJPJunsung Park
- Geunyoung AnGAGeunyoung An
- Byeong-No LeeBLByeong-No Lee
- Hee SeoHSHee Seo
- 6 March 2025
- journal article
- Published by Elsevier in Radiation Physics and Chemistry
- Vol. 232
Abstract
No abstract availableThis publication has 30 references indexed in Scilit:
- A lightweight vehicles detection network model based on YOLOv5Engineering Applications of Artificial Intelligence, 2022
- Material classification in X-ray images based on multi-scale CNNSignal, Image and Video Processing, 2021
- LabelStoma: A tool for stomata detection based on the YOLO algorithmComputers and Electronics in Agriculture, 2020
- Airport operations and security screening: An examination of social justiceJournal of Air Transport Management, 2020
- Sharpening filter for false color imaging of dual-energy X-ray scansSignal, Image and Video Processing, 2016
- A novel numerical method to eliminate thickness effect in dual energy X-ray imaging used in baggage inspectionNuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2014
- Improving the Efficacy of Security Screening Tasks: A Review of Visual Search Challenges and Ways to Mitigate Their Adverse EffectsApplied Cognitive Psychology, 2014
- A review of X-ray explosives detection techniques for checked baggageApplied Radiation and Isotopes, 2012
- Luggage and shipped goodsEuropean Journal of Radiology, 2007
- The key design parameters of checked baggage security screening systems in airportsJournal of Air Transport Management, 2005