Enhanced detonators detection in X-ray baggage inspection by image manipulation and deep convolutional neural networks


Image Recognition

ARTICLE SOURCE

The detection of dangerous objects in X-ray images of baggage has become important, particularly due to rising crime rates1. In recent years, CNNs have gained significant popularity in the field of X-ray image analysis for baggage screening14,15,16,17,18,19,20. Nowadays, there are limited studies that specifically address the detection of detonators in the X-ray baggage inspection process. This allowed us to gain insights into the validity of the manipulation processes and how they relate to the performance of detonators detection. The proposed methods of image manipulation emulate various technical specifications and assess the detection performance.